Table of Contents
Overview
Definition and Importance
Structural biology is a scientific discipline dedicated to understanding biological functions and processes at the molecular level by examining the structures and dynamics of biomolecules. This field is crucial for advancing various scientific disciplines, especially _medicine, as it provides insights into the operation of biological systems at a molecular scale.[1.1] In medicine, structural biology's significance is highlighted through its ability to analyze three-dimensional biomolecular structures. This analysis enables researchers to identify drug binding sites, elucidate _enzyme catalysis mechanisms, comprehend the transmission of genetic information, and design new therapeutic agents.[2.1] This capability has transformed structural biology from a specialized area into an essential tool for life scientists, marking a revolutionary shift in the field.[3.1]Key Concepts in Structural Biology
Structural biology is a scientific discipline that focuses on the molecular structure of biological macromolecules, including proteins, nucleic acids, and lipids. This field is essential for understanding biological processes at the molecular level and has significant implications for various applications, such as drug design and therapeutic strategies.[4.1] One of the fundamental concepts in structural biology is the hierarchical assembly of macromolecules, which encompasses their primary, secondary, tertiary, and quaternary structures. These structural levels are crucial for elucidating the relationship between a molecule's structure and its function.[5.1] Additionally, structural biology employs thermodynamic principles to study processes such as protein folding and dynamics, which are vital for understanding how proteins achieve their functional conformations.[5.1] Structural biology employs various techniques to elucidate the atomic structures of biomolecules, with X-ray crystallography and nuclear magnetic resonance (NMR) spectroscopy being two of the most prominent methods. X-ray crystallography provides high-resolution images of static structures, which are critical for detailed molecular modeling, as it can pinpoint atom positions to within a fraction of an angstrom.[11.1] In contrast, NMR spectroscopy utilizes strong local magnetic fields to analyze the alignment of atomic nuclei, making it better suited for studying larger-scale structural themes and dynamic processes.[10.1] While X-ray crystallography requires well-ordered crystals, which can pose significant limitations, NMR can analyze molecules in solution, thus offering complementary data.[10.1] The integration of these two techniques is increasingly recognized as essential, as they provide complementary views of structure and dynamics, addressing the limitations associated with obtaining diffraction-quality crystals and enhancing the understanding of biomolecular structures.[11.1] The integration of structural biology with computational biology and bioinformatics tools enhances our understanding of protein-protein interactions (PPIs). Algorithms and software, such as STRING, facilitate the analysis of interaction networks among biological entities, allowing researchers to compile high-confidence interactions across numerous organisms.[7.1] Recent advancements in artificial intelligence, particularly tools like AlphaFold2, have significantly improved the prediction of PPIs and the architecture of protein complexes, further enriching the structural biology landscape.[9.1]History
Early Discoveries
The early discoveries in structural biology were significantly influenced by the advent of X-ray crystallography, which emerged as a pivotal technique for elucidating the three-dimensional structures of proteins. The origins of protein crystallography can be traced back to the discovery of X-rays by Conrad Röentgen in 1895, followed by Max von Laue's groundbreaking work in 1912, where he first observed the diffraction of X-rays by crystals, revealing their wave nature.[53.1] This foundational work laid the groundwork for the field, culminating in the initial observation of diffraction from crystals of the small protein pepsin in 1934, and the first successful determination of a protein structure, myoglobin, in 1958.[54.1] Throughout the 1960s, X-ray crystallography continued to advance, leading to the determination of the structure of hemoglobin and, notably, the first enzyme structure, lysozyme, in 1965.[54.1] By the late 20th century, X-ray crystallography had become the dominant method for protein structure determination, with approximately 85% of all known protein structures elucidated using this technique.[55.1] The availability of atomic resolution structures has provided profound insights into protein function and the intricate workings of living cells, with 86% of entries in the Protein Data Bank being macromolecular structures determined through X-ray crystallography.[57.1] Structural biology has evolved into a mature science, characterized by an increasing rate of solved structures. This advancement is supported by significant new initiatives aimed at determining all the protein folds utilized in biological systems.[42.1] These developments reflect the ongoing progress in the field, highlighting the importance of structural biology in understanding complex biological processes.Development of Techniques
Advancements in structural biology techniques have significantly transformed the field, particularly in drug development and vaccine design. The integration of molecular dynamics simulations has allowed researchers to model protein-ligand interactions over time, capturing conformational changes that are crucial for understanding drug binding and efficacy.[45.1] This has been complemented by AI-driven structure prediction methods, such as AlphaFold, which have accelerated the modeling of previously unresolved protein structures, thereby reducing the time and costs associated with experimental structure determination.[45.1] Rational vaccine design, often referred to as structural vaccinology, has emerged as a promising approach, particularly highlighted during the COVID-19 pandemic. This period saw the convergence of structural vaccinology and synthetic biology, leading to the rapid development of mRNA vaccines.[46.1] The availability of structural information for viral surface proteins has revolutionized vaccine antigen design, facilitated by advances in X-ray crystallography, electron microscopy, and computational biology.[47.1] Recent advancements in cryo-electron microscopy (cryo-EM) have significantly improved our understanding of protein interactions, both within individual proteins and between proteins in assemblies. This technique has evolved to enable the determination of single-structure models as well as uncertainty ensembles from cryo-EM data, although it does not provide fully quantitative information about the thermodynamics and dynamics of the studied systems.[49.1] In parallel, nuclear magnetic resonance (NMR) spectroscopy has emerged as a primary tool in structural biology, particularly due to major advances in theory, hardware, and experimental methods that allow for the quantitative analysis of protein dynamics at atomic resolution.[52.1] Traditional NMR methods were limited by the size of the proteins under study, but recent developments have facilitated the investigation of larger protein molecules and macromolecular complexes, revealing that protein dynamics are fundamental to understanding their biological activity.[51.1] These advancements highlight the importance of designing experiments that allow for the quantitative analysis of protein dynamics, which is crucial for comprehending protein function at the molecular level.[52.1] The Protein Data Bank (PDB) was established in 1971 as the first open access digital data resource for biology and medicine, evolving from a small archive containing a dozen structures to a major international resource with over 40,000 entries.[62.1] This growth has been influenced by the interplay of science, technology, and evolving attitudes towards data sharing, which have collectively enhanced the accessibility of macromolecular structural data.[58.1] The PDB has become a worldwide resource serving structural biology, with the community playing a significant role in developing standards and policies that facilitate collaboration across various biophysics communities.[60.1] The Worldwide Protein Data Bank (wwPDB) manages the deposition, processing, and distribution of the PDB archive, ensuring that the structural data remains freely and publicly available to the global community.[61.1] The PDB has shown growing applications in structure-guided drug design, proving instrumental in the discovery and development of new therapeutic strategies.[62.1]Techniques In Structural Biology
X-ray Crystallography
X-ray crystallography is a pivotal technique in structural biology, primarily utilized for the quantitative study of the three-dimensional structures of proteins. The technique gained significant momentum with the advent of synchrotron radiation, which first enabled the determination of the protein structure of the photosynthetic reaction center of Rhodopseudomonas viridis in 1985 at a resolution of 3 Å.[89.1] Over the past decade, there has been an explosive growth in the number of atomic-level structures determined by X-ray crystallography, largely fueled by advancements in synchrotron radiation and related technical innovations.[90.1] Recent developments in X-ray microbeam applications using synchrotron radiation have enhanced the ability to determine structures from macromolecular microcrystals, such as small in meso crystals. However, the high intensity of these microbeams can lead to severe radiation damage, which negatively impacts the statistical quality of diffraction data and their resolution.[88.1] Despite these challenges, the integration of automation and remote access in X-ray crystallography has significantly improved the efficiency of structure determination processes.[91.1] The integration of cross-linking with mass spectrometry offers a holistic approach to structural biology, revealing the complex interplay of biomolecules in real-time. This integration, alongside techniques such as nuclear magnetic resonance (NMR) spectroscopy and X-ray crystallography, enables researchers to obtain a more comprehensive view of molecular interactions.[104.1] Recently, the structure of the Nup82-Nup84 complex was elucidated using multi-linker cross-linking, cryo-electron microscopy (EM), X-ray crystallography, and small-angle X-ray scattering (SAXS).[105.1] This approach involved the integration of cryo-electron tomographic data, homology modeling, and the fitting of high-resolution structures with cross-linking restraints, which collectively contributed to a detailed understanding of the architecture of the human nuclear pore complex.[105.1]Nuclear Magnetic Resonance (NMR)
Nuclear magnetic resonance (NMR) spectroscopy is a pivotal technique in structural biology, renowned for its ability to analyze protein structure, interactions, and dynamics at atomic resolution across various sample states, including solution, solid, and membranous environments. The past decade has seen significant advancements in NMR methodologies, facilitating a growing number of studies on complex protein systems, such as large protein complexes and membrane proteins.[101.1] One of the notable developments in NMR is the application of the TROSY (transverse relaxation optimized spectroscopy) principle, which has enabled site-specific studies of dynamics in large protein complexes, exemplified by investigations into the GroEL-GroES chaperone and the ClpP protease.[98.1] Additionally, NMR has been instrumental in exploring the folding and unfolding equilibria of globular proteins in cellular environments, providing insights that are often unattainable through other methods.[99.1] Nuclear Magnetic Resonance (NMR) spectroscopy, particularly 19F NMR, has gained significant attention as a sensitive and high-resolution method for studying biomolecular structure and dynamics. This technique supplements traditional 13C/15N-based methods and has been instrumental in developing novel tagging and labeling techniques that enhance our understanding of protein structure and conformational dynamics, both in vitro and in cellular contexts.[100.1] NMR spectroscopy is recognized for its exquisite resolution and non-perturbing nature, making it a principal tool for observing protein dynamics.[102.1] Furthermore, NMR data is often utilized alongside other structural biology techniques, such as cryo-electron microscopy (cryo-EM) and X-ray crystallography. While the data from these methods may not always be directly comparable due to differences in measurement phases, the structural information obtained from spatially sensitive techniques can aid in refining NMR assignments.[103.1] Moreover, NMR spectroscopy has addressed challenges associated with studying large or membrane proteins by employing innovative strategies such as stabilizing unlabeled membrane proteins in micelles, bicelles, or nanodiscs, and utilizing solid-state NMR (ssNMR) techniques that do not impose size limitations.[112.1] These methods have successfully elucidated the binding interfaces of various protein interactions and provided mechanistic insights into their functions.[112.1] Recent advancements have also focused on structural studies in detergent-free lipid bilayer samples, which closely mimic the native environment of membrane proteins, thereby enhancing the relevance of the findings.[113.1]In this section:
Recent Advancements
Emerging Techniques
Recent advancements in structural biology have been significantly influenced by the emergence of innovative techniques that enhance our understanding of macromolecular structures and dynamics. One of the most notable breakthroughs is the development of AlphaFold and RoseTTAFold, which have dramatically improved the accuracy of protein structure predictions. These tools have the potential to increase the number of available protein structural models by nearly three orders of magnitude, thereby redefining the boundaries between various biological disciplines, including genetics and medicinal chemistry.[119.1] In addition to these predictive models, machine learning and theoretical modeling have become integral to computational structural biology. These methods facilitate the structural and functional characterization of an unprecedented number of proteins and protein complexes, enabling researchers to design and modulate molecular interactions with greater precision.[120.1] The integration of machine learning into experimental workflows has also enhanced the modeling of large protein complexes and molecular dynamics simulations, which are essential components of integrative structural biology.[120.1] Cryo-electron microscopy (cryo-EM) has emerged as a powerful technique for visualizing biological macromolecules at near-atomic resolution. This method allows researchers to capture continuously changing structural states of complexes, providing deeper insights into biochemical mechanisms and aiding drug design efforts.[123.1] The evolution of cryo-EM, particularly single-particle cryo-EM, has positioned it as a leading method for elucidating macromolecular structures, rivaling traditional X-ray crystallography.[130.1] Furthermore, the combination of cryo-EM with cryo-electron tomography has created opportunities to visualize macromolecules in situ, enhancing our understanding of their interactions within complex mixtures and cellular environments.[129.1] Recent advancements in the prediction of protein–protein interactions and the automation of modeling pipelines have been achieved with tools such as AlphaFold-Multimer and AlphaPullDown, while AlphaFill has enhanced the generation of models that incorporate ligands by "transplanting" small molecules and ions from experimentally determined structures to predicted protein models.[122.1] However, due to the nature of the prediction and the limitations of the available training dataset, AlphaFold2 does not accurately model protein aggregation, macromolecular complexes—including protein–nucleic acid interactions and macromolecule–ligand interactions—or structural rearrangements triggered by factors such as ligand binding. Additionally, it struggles to account for external factors like pH, temperature, or conformationally dynamic systems, indicating that further developments will be necessary to address these challenges.[122.1]Applications in Drug Discovery
Recent advancements in structural biology have significantly influenced drug discovery, particularly in the development of targeted therapies. For instance, the unique oligomerization properties of Trop2, uncovered through structural biology techniques, have been identified as critical in oncogenic signaling pathways, making it a promising target for Trop2-targeted drugs designed to inhibit its oncogenic functions.[134.1] Moreover, structural biology has played a pivotal role in the development of KRAS inhibitors, with teams at Memorial Sloan Kettering Cancer Center contributing to their FDA approval in 2021 and 2022. This progress was built upon a breakthrough in 2013, where researchers at the University of California, San Francisco, reported a novel approach that challenged previous assumptions about KRAS.[135.1] In addition to small molecules, structural biology has revealed how genetic mutations can alter critical protein interactions in cancer cells. Research led by Harvard’s Department of Chemistry and Chemical Biology demonstrated that specific mutations in medulloblastoma can mimic the action of 'molecular glues,' driving oncogenic processes. This insight opens avenues for further exploration of genetic mutations that can induce new protein interactions, aiding in the design of innovative chemical therapies.[136.1] The integration of structural biology with traditional pharmacology is essential for optimizing drug discovery processes. Structural biology techniques guide the optimization of enzyme inhibitors and the design of targeted antibodies that can modify cytokine signal transduction.[150.1] Furthermore, a comprehensive understanding of biological systems is crucial for target identification and validation, as well as for tailoring drug design to biological structures, thereby enhancing absorption, distribution, metabolism, and excretion (ADME) properties.[151.1] Systems pharmacology, which combines cellular networks with structurally derived conformational ensembles, emphasizes the importance of considering the complexity of physiological responses during the early stages of drug development.[152.1] The integration of structural biology into medicinal chemistry is further supported by multidisciplinary strategies that combine various structural biology techniques with computational tools, including machine learning algorithms.[154.1] This holistic approach aims to streamline drug development and improve therapeutic outcomes.[153.1]In this section:
Protein Structure PredictionsGeneticsMedicinal ChemistryMachine LearningTheoretical Modeling
Applications Of Structural Biology
Understanding Disease Mechanisms
Structural biology plays a crucial role in understanding disease mechanisms, particularly in the context of drug design and the development of new therapies. It is essential for elucidating the structural details of complex and dynamic biomolecules, which are fundamental to understanding how diseases operate at a molecular level. The challenges faced in structural biology research, such as obtaining high-resolution structures and dealing with limited biological samples, underscore its importance in medical research.[163.1] In the realm of drug development, structural biology has been instrumental in the design of biologically active compounds that have successfully transitioned into marketable drugs. This highlights the critical role structural biology plays in the drug discovery process, where protein structure determination is often one of the earliest and most vital steps for pharmaceutical companies.[186.1] Techniques such as X-ray crystallography have emerged as dominant tools in this field, enabling researchers to discover novel compounds and develop them into therapeutic agents.[188.1] Moreover, structural biology is particularly significant in the development of cancer therapies. By providing insights into how proteins and genes function, structural biology aids in the design of effective treatments for cancer.[187.1] The integration of structural biology with biochemistry and functional studies allows researchers to understand the biochemical interactions involved in cancer progression, facilitating the development of targeted therapies.[189.1] Collaborative programs, such as the Cancer Chemical and Structural Biology Program, exemplify the interdisciplinary approach needed to discover and validate new drug leads.[190.1] Structural biology has become increasingly important in addressing emerging infectious diseases, particularly through the efforts of the Center for Structural Genomics of Infectious Diseases (CSGID). This center employs state-of-the-art high-throughput structural biology technologies to experimentally characterize the three-dimensional atomic structures of proteins from pathogens classified as category A-C by the National Institute for Allergy and Infectious Diseases (NIAID).[196.1] Recent advancements in this field have significantly influenced the development of antiviral therapies, especially in the context of SARS-CoV-2. Research has highlighted the structural features of SARS-CoV-2 spike protein variants, proteases, and replication complexes, which are critical for understanding the virus and developing effective treatments.[197.1] Additionally, the successful application of structural virology has underscored the potential of targeting viral components, such as capsids, in antiviral therapy. The recent approval of the antiretroviral drug lenacapavir exemplifies how insights from structural biology can lead to the development of effective therapeutics.[199.1] Overall, structural biology provides crucial insights into the atomic-level architecture of viruses and their proteins, forming the foundation for innovative antiviral strategies.[199.1]Structural Genomics
Structural genomics is a subfield of structural biology that emphasizes the structural analysis of proteins and biological macromolecular assemblies. Transmission electron cryo-microscopy (cryo-EM) has emerged as a versatile tool in this area, providing exciting opportunities for the three-dimensional structural determination of macromolecular complexes.[73.1] Recent advancements in imaging techniques, particularly cryo-electron tomography (Cryo-ET), have further accelerated scientific discovery in structural biology by offering unprecedented insights into cellular structures at near-atomic resolutions.[78.1] These developments enhance our understanding of protein structures and their functions within cellular processes, underscoring the transformative impact of modern imaging methods in structural biology.[78.1] Moreover, structural genomics plays a crucial role in drug discovery by providing insights into the molecular structures of target proteins. This understanding allows researchers to design small molecules that can specifically interact with these targets, facilitating the development of new therapeutic agents.[162.1] For instance, structural insights into protein kinase B (AKT) have led to the creation of targeted cancer therapies, demonstrating the practical applications of structural genomics in addressing complex diseases.[162.1] The integration of structural biology data into clinical research is also evolving, particularly in the context of personalized medicine. By leveraging structural information, researchers can tailor treatments based on individual genetic profiles, thereby enhancing the precision of therapeutic interventions.[170.1] The open-source availability of tools like AlphaFold further supports this integration, fostering global collaboration and innovation in structural biology and its applications in personalized medicine.[168.1]In this section:
Disease MechanismsBiochemistryBiochemical InteractionsEmerging Infectious DiseasesStructural Genomics
Integrative Structural Biology
Combining Experimental and Computational Approaches
Integrative Structural Biology (ISB) represents a significant advancement in the field of structural biology, characterized by the combination of classical structural biology techniques with various experimental and computational methods. This interdisciplinary approach aims to provide a more comprehensive and higher resolution understanding of biological macromolecules than traditional methods alone could achieve.[208.1] By integrating data from multiple sources, ISB facilitates the modeling of complex biological systems, thereby enhancing our understanding of cellular biology and drug discovery.[207.1] The evolution of ISB has been marked by the incorporation of advanced computational techniques, including machine learning and theoretical modeling, which have dramatically improved protein structure prediction capabilities. Notably, tools such as AlphaFold and RoseTTAFold have revolutionized the field by enabling the accurate prediction of protein folds, thereby increasing the number of available structural models significantly.[218.1] These advancements allow researchers to utilize structural models in various biological disciplines, thereby fostering collaboration among biologists, geneticists, and medicinal chemists.[218.1] The integration of computational biology with multiomics data is essential for advancing personalized medicine, particularly in the context of cancer treatment. This approach facilitates the development of individualized models that can predict tumor responses to therapies, thereby enhancing the precision of treatment strategies.[211.1] In this new era of personalized medicine, systems biology and mathematical modeling leverage technological advances in omics techniques to create personalized tumor models, which serve as valuable resources for studying drug response.[212.1] Furthermore, the reconstruction of genome-scale, structure-based gene regulatory networks is critical for understanding complex diseases, highlighting the importance of integrative structural biology in tailoring drug therapies to individual patients.[210.1] Overall, these advancements underscore a shift from a one-size-fits-all approach to a more nuanced understanding of the molecular basis of health and disease, ultimately leading to more effective treatment strategies.[214.1] As integrated structural biology continues to advance, it is anticipated that its implementation will become routine, relying on five key frontiers: sample preparation, in situ cellular biology, dynamics, translational biology, and artificial intelligence.[215.1] These integrative and hybrid methods are poised to bridge long-standing knowledge gaps in the field, playing a crucial role in the pursuit of a comprehensive and unified representation of biological processes that spans both molecular and cellular scales.[216.1] This evolution in methodology is expected to significantly enhance our understanding of complex biological systems and facilitate more effective therapeutic interventions.In this section:
Complex Biological SystemsCellular BiologyProtein Structure PredictionMultiomicsCancer Treatment
Challenges In Structural Biology
Limitations of Current Techniques
Structural biology faces several limitations inherent to current techniques, particularly in the context of traditional in vitro methods. One significant challenge is the difficulty in capturing low-abundant or dynamic species and transition states, as traditional techniques such as single-particle cryo-electron microscopy (cryo-EM) and X-ray crystallography often rely on averaging large numbers of homogeneous particles to achieve high resolution.[261.1] This reliance can obscure the structural details of less prevalent or transient molecular forms. Moreover, the complexity of biological systems poses additional hurdles. For instance, cell biology typically lacks the structural resolution necessary to elucidate the roles of individual molecules and the intricate choreography that organizes them into functional units, which is essential for distinguishing living cells from inanimate objects.[256.1] The integration of structural and cellular biology remains a formidable challenge, as it requires overcoming the limitations of traditional methods to achieve a comprehensive understanding of molecular interactions within the cellular context.[256.1] Recent advancements in instrumentation, particularly in small-angle X-ray and neutron scattering, have significantly enhanced the capabilities of structural biology. These developments have improved tools for data analysis, modeling capabilities, and standards for data and model presentation, as well as data archiving.[259.1] Additionally, the state-of-the-art capabilities of cryo-focused ion beam (cryo-FIB) technology have further contributed to the field, particularly in structural cell and tissue biology, by introducing new imaging modalities and automation techniques.[258.1] However, these advancements also present new challenges, necessitating sophisticated data interpretation and analysis to fully leverage the benefits of these technologies. The integration of these advanced techniques with traditional methods underscores the importance of addressing the ongoing challenges in structural biology, which will rely on key frontiers such as sample preparation, in situ cellular biology, dynamics, translational biology, and artificial intelligence for future success.[260.1] The integration of data from multiple experimental techniques, such as X-ray crystallography and cryo-electron microscopy (cryo-EM), is a rapidly evolving area in structural biology that presents significant challenges. This integrative approach allows researchers to combine the high-resolution structural information obtained from X-ray crystallography with the ability of cryo-EM to study large biological assemblies at lower resolutions, thereby expanding the understanding of complex biological processes.[269.1] However, careful consideration is required regarding the differing resolutions and conditions under which the data were obtained. For example, a recent study successfully docked the crystal structure of the Ryanodine receptor 1's SPRY2 domain into a 10 Å resolution cryo-EM map of the entire complex, demonstrating the potential of such integrative methods.[270.1] This study highlighted the precision with which the domain's location and orientation could be defined, achieving a root-mean-square deviation (RMSD) of only 2.1 Å between the docked model and the high-resolution atomic structure, thus underscoring both the promise and the complexities involved in aligning data from disparate sources.[270.1]Addressing Membrane Proteins
Membrane proteins pose significant challenges in structural biology due to their complex nature and the inherent difficulties in studying them. However, computational structural biology has made remarkable advancements over the past two decades, particularly in protein structure prediction methods, which are crucial for understanding these proteins.[252.1] The release of protein structure predictions from AlphaFold and RoseTTAFold is anticipated to increase the number of available protein structural models by almost three orders of magnitude, indicating a paradigm shift in the field.[253.1] This shift, combined with recent improvements in cryo-electron microscopy, suggests a transformative change in structural biology, enhancing our capacity to analyze the structures of membrane proteins.[253.1] The exceptional accuracy achieved by these computational methods allows for a more credible generation of protein models from sequences, thereby facilitating the application of structural models across various biological disciplines, including biology, genetics, medicinal chemistry, and physiology.[253.1] The advent of powerful computational tools, such as AlphaFold and RoseTTAFold, has revolutionized the field by enabling accurate predictions of protein structures, including those of membrane proteins. These tools allow researchers to generate structural models from amino acid sequences, significantly increasing the number of available structural models and facilitating the study of previously intractable membrane proteins.[290.1] Furthermore, the application of machine learning and deep learning techniques has improved the efficiency of protein structure prediction, enabling the characterization of complex membrane protein assemblies and their dynamics.[289.1] Recent advancements in structural biology have enhanced the methodologies of structure-based drug design, allowing for the rational development of small molecules that specifically target membrane proteins. These proteins are critical in various disease mechanisms, and understanding their structural and functional properties is essential for improving the efficacy and safety of treatments.[283.1] By examining potential binding sites for new therapeutics, researchers can develop strategies that effectively target these proteins, thereby elucidating the underlying mechanisms of diseases.[283.1] Overall, the integration of structural biology into drug design is vital for enhancing the safety and efficacy of new drug candidates.[283.1]In this section:
Future Directions
Innovations in Imaging Techniques
Recent advancements in imaging techniques have significantly transformed the field of structural biology, particularly through the integration of artificial intelligence (AI) and cryo-electron microscopy (cryo-EM). The introduction of AI-driven models, such as AlphaFold and RoseTTAFold, has revolutionized the prediction of protein structures from sequences, increasing the number of available protein structural models by nearly three orders of magnitude. This leap in accuracy allows biologists and chemists to utilize structural models more effectively, thereby redefining interdisciplinary boundaries within biological sciences.[300.1] Cryo-EM has also undergone a "resolution revolution," enabling scientists to determine the structures of proteins that were previously difficult to analyze using traditional methods. This technique is particularly valuable for drug discovery, as it allows for the structural determination of 'intractable' targets that are not accessible through X-ray crystallography.[323.1] The ability of cryo-EM to achieve high-resolution structures of various conformational states of protein complexes further enhances its utility in understanding protein dynamics and interactions.[325.1] Recent advancements in cryo-electron microscopy (cryo-EM) have transformed the landscape of drug discovery by enhancing the quality of structural data, particularly through improvements in resolution and the identification of metal-ligand interactions and water molecules.[322.1] These enhancements are critical for accurately mapping the binding of drugs and inhibitors to their protein targets, which necessitates structure determination at the highest possible resolutions.[324.1] Looking ahead, the future of integrated structural biology is expected to be shaped by five key frontiers: sample preparation, in situ cellular biology, dynamics, translational biology, and artificial intelligence.[302.1] The integration of these elements is anticipated to facilitate routine applications of structural biology, thereby advancing the design of protein constructs and improving drug development processes.[302.1]Role of Computational Biology in Structural Studies
The integration of computational biology, particularly through artificial intelligence (AI) tools like AlphaFold, is reshaping structural biology by enhancing the prediction and understanding of protein structures. AlphaFold, developed by DeepMind, has set a new standard in protein structure prediction, accurately determining three-dimensional (3D) structures from amino acid sequences with atomic-level precision. This breakthrough has resulted in the prediction of structures for over 200 million proteins, sparking significant interest in the scientific community, especially in fields like biology and medicine.[305.1] AI-driven tools, such as AlphaFold, complement traditional methods by accelerating experimental structure determination and facilitating protein design and the exploration of protein-protein interactions.[303.1] The synergy between AI and high-throughput experimental studies is crucial for the future of structural biology, as experimental approaches remain indispensable.[306.1] This collaboration is expected to drive advancements in the field, ensuring a comprehensive approach to structural studies.[306.1] Furthermore, the integration of AI with cryo-electron microscopy (cryo-EM) is set to further transform the field. Innovations like Cryo-IEF and CryoWizard aim to enhance the accessibility and efficiency of cryo-EM, aiding in the analysis of complex biological systems.[312.1] AI technologies are being utilized to improve various stages of cryo-EM data analysis, from particle picking to 3D reconstruction, thereby accelerating breakthroughs in drug discovery and structural biology.[309.1] The future of structural biology is poised for significant transformation through the integration of cryo-EM and AI technologies. This combination is expected to revolutionize the field by improving the processing and interpretation of large, complex datasets, which is essential as research expands from individual protein structures to complete cellular assemblies.[307.1] The integration of AI with cryo-EM aims to address existing limitations in automation, throughput, and the interpretation of medium-resolution maps, marking a new direction for the development of cryo-EM.[311.1] To facilitate this integration, it is crucial to prioritize user-friendly design and ensure that AI methods are compatible with existing software commonly used by structural biologists, such as CryoSPARC, RELION, and EMAN.[310.1] As these advancements unfold, cryo-EM is likely to become an indispensable tool in modern drug discovery, further driving innovation in biological research.[311.1]In this section:
References
[1] Structural Biology | Definition, Importance & Examples - Study.com — The importance of structural biology is manifold. It provides molecular-level insights into the mechanisms of biological functions and processes, highlighting the structures and dynamics of
[2] Structural Biology: Techniques & Importance - StudySmarter — Importance of Structural Biology. Structural biology plays an essential role in the field of medicine. By analyzing the 3D structures of biomolecules, researchers can: Identify binding sites for medicinal drugs; Determine mechanisms of enzyme catalysis; Understand genetic information transmission; Design novel therapeutic agents
[3] What is Structural Biology - Instruct-ERIC — Revolutionary Biology Part 2: The history of structural biology from NDM Oxford. Whilst structural biology was once a niche area, it is now accessible to life scientists across all disciplines, and should be part of the toolbox for all researchers. In recent years we have seen a revolution in structural biology.
[4] Principles of Structural Biology: A Beginner's Guide — Structural biology is the branch of biology that focuses on the molecular structure of biological macromolecules such as proteins, nucleic acids, and lipids. This scientific field plays a crucial role in understanding the biological processes at the molecular level and contributes significantly to various applications, from drug design to
[5] Understanding Structural Biology, Its Applications and Creating a ... —  Structural biology is a field dedicated to the study of the structure of molecules that form living matter, including proteins, nucleic acids, lipid membranes and carbohydrates. To address this relationship between structure and function, structural biology makes use of some fundamental concepts related to the hierarchical assembly of proteins and nucleic acids (such as macromolecule structure; primary, secondary, tertiary and quaternary structures; structural domains and motifs; protein shape), or to the process of structural organization itself from a thermodynamic point of view (protein folding and protein dynamics).
[7] STRING - SIB Swiss Institute of Bioinformatics | Expasy — Protein-protein interaction networks and enrichment analysis Home ; About ; SIB News ... The platform provides tools for network integration, visualization, and gene set enrichment analysis. 💡 STRING compiles millions of high-confidence interactions across more than 12,000 organisms. ... Structural Biology , Drug design
[9] AlphaPulldown2—a general pipeline for high-throughput structural ... — 1 Introduction. Recent advancements in Artificial Intelligence (AI)-based structural prediction, driven by tools such as AlphaFold2 (Jumper et al. 2021), RoseTTAFold (Baek et al. 2021), and ColabFold (Mirdita et al. 2022), have remarkably improved our capacity to predict protein-protein interactions (PPIs) and the architecture of protein complexes.The associated confidence scores can be also
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[11] Difference Between Nmr And X Ray Crystallography — X-ray crystallography provides high-resolution images of static structures, critical for detailed molecular modeling. Accuracy in Structural Details. X-ray crystallography can pinpoint atom positions to within a fraction of an angstrom, much more precise than NMR, which is better suited for larger scale structural themes and dynamic studies.
[42] The march of structural biology | Nature Reviews Molecular Cell Biology — Structural biology is now a mature science. New structures are being solved at an ever-increasing rate and there are important new initiatives to determine all the protein folds that are used by
[45] The Disruptive Impact of Structural Biology on Biopharmaceutical Innovation — Advances in structural biology techniques have also expanded beyond small molecule therapeutics to influence vaccine design, protein engineering, and gene therapy, making it a foundational discipline in modern biopharmaceutical research and development. Molecular dynamics simulations allow researchers to model how proteins and ligands interact over time, capturing conformational changes that influence drug binding and efficacy.5 Advances in AI-driven structure prediction, exemplified by AlphaFold, have accelerated the modeling of previously unresolved protein structures, reducing the time and cost associated with experimental structure determination.6 These developments have been integrated into drug development pipelines, enabling structure-based virtual screening, de novo drug design, and optimization of lead compounds. Advancements in high-resolution structural techniques, AI, and systems biology are expanding the scope of molecular characterization, enabling more targeted and efficient drug development strategies.
[46] How structural biology is informing vaccine design — MA: Rational vaccine design, or structural vaccinology, is poised to become a routine approach and is touted to lead to the development of vaccines for diseases that are hard to target. The pandemic brought together earlier efforts in structural vaccinology and synthetic biology (mRNA design and packing) to bring vaccines to market in record time.
[47] Structure-Based Vaccine Antigen Design - PMC — The availability of structural information for viral surface proteins has revolutionized vaccine antigen design. This has been fostered by advances in X-ray crystallography and electron microscopy, computational biology, and technologies for isolating human monoclonal antibodies.
[49] Simultaneous Determination of Protein Structure and Dynamics Using Cryo ... — The methods described above can successfully determine single-structure models as well as uncertainty ensembles from cryo-EM data, but they do not provide fully quantitative information about the thermodynamics and dynamics of the systems studied. Here, we report an approach to enable the simultaneous determination of structure and dynamics of proteins and protein complexes by modeling thermodynamic ensembles from cryo-EM density maps. We calculated the predicted cryo-EM maps from the single-structure model (B) and metainference ensemble (D) and evaluated the global and local CC with the experimental map. We have reported a method to determine structure and dynamics of macromolecular systems by modeling thermodynamic ensembles from cryo-EM density maps.
[51] Protein Dynamics as Reported by NMR - ScienceDirect — Recent advances in NMR-spectroscopy demonstrate that these molecules can be characterized by motions on a wide range of time scales, and besides their three-dimensional (3D) structures, dynamics is also fundamental to truly understand their biological activity. ... Recent advances in understanding protein dynamics calls for an extension of this
[52] Protein dynamics and function from solution state NMR spectroscopy — Because protein dynamics are so important, a key to understanding protein function at the molecular level is to design experiments that allow their quantitative analysis. Nuclear magnetic resonance (NMR) spectroscopy is uniquely suited for this purpose because major advances in theory, hardware, and experimental methods have made it possible to
[53] Structural analysis of proteins using X-ray diffraction technique — The origin of protein crystallography can be traced back from the discovery of X-rays by Conrad Röentgen (Noble Prize in Physics, 1901), and the subsequent measurements by Max von Laue (Noble Prize in Physics, 1914), who was first to observe diffraction of X-rays by atoms/ions/molecules, which revealed the wave nature of X-rays .These discoveries were followed by the diffraction
[54] Developments in X-ray Crystallographic Structure ... - Science — This branch of crystallography has dramatically advanced over the past 80 years since the 1934 initial observation of diffraction from crystals of a small protein, pepsin, and the first protein structure determination (myoglobin) in 1958.Haemoglobin followed, and then in 1965 the first enzyme structure, lysozyme (), was solved.The recent characterization of the entire ribosome revealed one of
[55] Protein Structure Analysis and Validation with X-Ray Crystallography — X-ray crystallography is the main technique for the determination of protein structures. About 85% of all protein structures known to date have been elucidated using X-ray crystallography. Knowledge of the three-dimensional structure of proteins can be used in various applications in biotechnology, …
[57] Protein Crystallization for X-ray Crystallography - PMC — The availability of atomic resolution structures provides a deep and unique understanding of protein function, and helps to unravel the inner workings of the living cell. To date, 86% of the Protein Data Bank (rcsb-PDB) entries are macromolecular structures that were determined using X-ray crystallography.
[58] The Protein Data Bank: a historical perspective - PubMed — Abstract The Protein Data Bank began as a grassroots effort in 1971. It has grown from a small archive containing a dozen structures to a major international resource for structural biology containing more than 40000 entries. The interplay of science, technology and attitudes about data sharing have all played a role in the growth of this resource.
[60] The data universe of structural biology - IUCrJ — The Protein Data Bank (PDB) has grown from a small data resource for crystallographers to a worldwide resource serving structural biology. The history of the growth of the PDB and the role that the community has played in developing standards and policies are described. This article also illustrates how other biophysics communities are collaborating with the worldwide PDB to create a network
[61] The Future of the Protein Data Bank - PMC - National Center for ... — The Worldwide Protein Data Bank (wwPDB) is the international collaboration that manages the deposition, processing and distribution of the PDB archive. The wwPDB's mission is to maintain a single archive of macromolecular structural data that are freely and publicly available to the global community.
[62] Impact of the Protein Data Bank Across Scientific Disciplines | Data ... — The Protein Data Bank archive (PDB) was established in 1971 as the 1st open access digital data resource for biology and medicine. ... Soon after, the archive showed growing application in the field of structure-guided drug design, and has since been instrumental in the discovery and development of ... Analysis of impact metrics for the Protein
[73] Protein structure determination by electron cryo-microscopy — Transmission electron cryo-microscopy (cryoEM) is a versatile tool in the structural analysis of proteins and biological macromolecular assemblies. In this review, we present a brief survey of the methods used in cryoEM, and their current developments. These latest advances provide exciting opportunities for the three-dimensional structural determination of macromolecular complexes that are
[78] Advancements in Cryo-ET and Structural Imaging Techniques — The pace of scientific discovery in the realm of structural biology has accelerated, thanks to rapid advancements in imaging techniques. Among these, cryo-electron tomography (Cryo-ET) stands out as a transformative tool, offering unprecedented insights into cellular structures at near-atomic resolutions.
[88] Protein microcrystallography using synchrotron radiation — The progress in X-ray microbeam applications using synchrotron radiation is beneficial to structure determination from macromolecular microcrystals such as small in meso crystals. However, the high intensity of microbeams causes severe radiation damage, which worsens both the statistical quality of diffraction data and their resolution, and in the worst cases results in the failure of
[89] Synchrotron Radiation: A Key Tool for Drug Discovery — X-ray crystallography is widely used in the molecular design of drugs for the quantitative study of the 3D structure of proteins. Synchrotron radiation-based X-ray crystallography first determined the protein structure of the photosynthetic reaction center of Rhodopseudomonas viridis in 1985 (Fig. 5 A) at a resolution of 3 Å, presenting the
[90] Synchrotron crystallography - ScienceDirect — The past decade has seen an explosive growth in atomic-level structures determined by X-ray crystallography. Synchrotron radiation and a number of technical advances related quite directly to its development have fueled this growth. With the most recent advances coming to be used collectively and new resources being built, the foundation is
[91] Synchrotron radiation macromolecular crystallography: science and spin ... — A current overview of synchrotron radiation (SR) in macromolecular crystallography (MX) instrumentation, methods and applications is presented. Automation has been and remains a central development in the last decade, as have the rise of remote access and of industrial service provision.
[98] New Tools Provide New Insights in NMR Studies of Protein Dynamics — NMR methods exploiting the TROSY (transverse relaxation optimized spectroscopy) principle have emerged for both backbone positions and side chain methyl groups, allowing site-specific studies of dynamics to be performed on large protein complexes such as the GroEL-GroES chaperone and the ClpP protease . It is clear from these studies, and from
[99] NMR Provides Unique Insight into the Functional Dynamics and ... — Similarly, NMR spectroscopy has been used to investigate modulation of the folding/unfolding equilibrium of globular proteins in cellulo, ... Recent expts., advances in theory, and analogies to other complex systems such as glasses and spin glasses yield insight into protein dynamics. The basis of the understanding is the observation that the
[100] Insights into the Structure and Dynamics of Proteins from 19F Solution ... — Insights into the Structure and Dynamics of Proteins from 19F Solution NMR Spectroscopy | Biochemistry The increased interest and widespread use of 19F NMR spectroscopy of biomolecules is gradually establishing it as a sensitive and high-resolution probe of biomolecular structure and dynamics, supplementing traditional 13C/15N-based methods. This Review focuses on the advances in 19F solution NMR spectroscopy of proteins in the past 5 years, with an emphasis on novel 19F tags and labeling techniques, NMR experiments to probe protein structure and conformational dynamics in vitro, and in-cell NMR applications. You may have access to this article through your institution. You may have access to this article with your ACS ID if you have previously purchased it or have ACS member benefits.
[101] NMR-Based Methods for Protein Analysis | Analytical Chemistry — Nuclear magnetic resonance (NMR) spectroscopy is a well-established method for analyzing protein structure, interaction, and dynamics at atomic resolution and in various sample states including solution state, solid state, and membranous environment. Thanks to rapid NMR methodology development, the past decade has witnessed a growing number of protein NMR studies in complex systems ranging
[102] An introduction to NMR-based approaches for measuring protein dynamics — Among many experimental methods that can be used to observe and/or infer protein dynamics , NMR spectroscopy has emerged as a principal tool due to its exquisite resolution, non-perturbing nature, wide range of applications and solid theoretical foundations [43-47]. This work provides an overview of eight distinct NMR-based
[103] What Can NMR Spectroscopy Reveal About Protein Structures? — Often, NMR data is used alongside other structural biology techniques, such as cryo-EM and X-ray crystallography. 6 While the data is not always directly comparable, as the measurements may be made in different phases, the direct structural information from spatially sensitive methods can be used to help refine NMR assignments. Some of the key advantages of NMR methods over other techniques
[104] The Impact of Crosslinking Techniques in Mass Spectrometry — "The integration of crosslinking with mass spectrometry offers a holistic approach to structural biology, revealing the complex interplay of biomolecules in real-time." ... (NMR) spectroscopy or X-ray crystallography, researchers can obtain a more holistic view of molecular interactions. This integration fosters a comprehensive understanding
[105] Cross-Linking Mass Spectrometry (XL-MS): an Emerging Technology for ... — Recently, the structure of the Nup82-Nup84 complex was solved using multi-linker cross-linking, EM, X-ray crystallography, and SAXS 215. Integration of cryo-electron tomographic data, homology modeling, and fitting of high-resolution structures and cross-linking restraints were used to determine a comprehensive architecture for the human NPC 216.
[112] NMR as a Tool to Investigate Membrane Protein Structure, Dynamics and ... — These challenges are different for the two principal methods that have been applied to study the structures and dynamics of membrane proteins, namely solution and solid-state NMR. In these solution NMR experiments, unlabeled membrane proteins can be stabilized in micelles, bicelles, nanodiscs, or even in liposomes, whereas the directly detected protein, usually soluble, is deuterated for optimal detection.56 This method has been applied to identify the precise binding interface between a chemokine and the GPCR CXCR4 or plastocyanin and photosynthetic membrane proteins and provides mechanistic insight into these respective interactions.57–58 More traditional NMR chemical shift perturbation and resonance line-broadening approaches have been employed to detect the interaction of arrestin with rhodopsin.59 Since ssNMR methods have no principle limitations on size, both protein partners can be directly observed by exploring creative isotope labeling strategies in combination with specific ssNMR pulse schemes.60 SsNMR experiments also revealed that alternating interactions of phospholamban with the sarcoplasmic reticulum Ca2+-ATPase (SERCA) regulate the Ca2+ pump activity, which depends on the equilibra between transient conformational states of phospholamban.61
[113] Applications of NMR to membrane proteins - PMC — In this article, we review some of the recent developments that advance the application of NMR to membrane proteins, with emphasis on structural studies in detergent-free, lipid bilayer samples that resemble the native environment. Early NMR studies provided fundamental information about the structures and dynamics of phospholipid assemblies, and the effects of membrane proteins and various other membrane components on lipid bilayer membranes [13–16]. Examples of membrane protein structures determined in detergent micelles by solution NMR. The combined use of small nanodiscs, extensive 2H-labeling of both protein and lipids, TROSY (transverse relaxation-optimized spectroscopy) sequences at high magnetic fields, and non-uniform sampling schemes for signal acquisition [68–71], has enabled solution NMR structure determination of the bacterial outer membrane proteins OmpX, OmpA, and Ail . Structure determination of membrane proteins by NMR spectroscopy.
[119] A paradigm shift in structural biology - Nature Methods — Advertisement A paradigm shift in structural biology Nature Methods volume 19, pages 20–23 (2022)Cite this article 30k Accesses 18 Citations 121 Altmetric Metrics details Subjects The release of protein structure predictions from AlphaFold will increase the number of protein structural models by almost three orders of magnitude. Combining these advances in structure prediction with recent advances in cryo-electron microscopy suggests a new paradigm for structural biology. The astonishing accuracy with which protein folds can now be predicted by the programs AlphaFold (developed at DeepMind2, a subsidiary of Alphabet Inc.) and RoseTTAFold (developed at the University of Washington in Seattle3) represents a dramatic advance in structural biology. The arrival of AlphaFold and RoseTTAFold heralds a paradigm shift7 in structural biology. Although there have been methods to predict structure for a long time, the jump in accuracy achieved by AlphaFold makes model generation from sequence a more credible proposition than before, opening the door to the use of protein structural models (instead of just sequences) by biologists, geneticists, medicinal chemists and physiologists and thus redefining boundaries between disciplines in biology.
[120] Recent breakthroughs in computational structural biology harnessing the ... — Theoretical modeling and machine learning methods enable accurate protein structure prediction. Recent years have witnessed substantial developments in computational biology at several scales (Figure 1), enabling the structural and functional characterization of an unprecedented number of proteins and protein complexes, as well as modulating and designing the interactions and functionalities of these molecules. New theoretical models and algorithms, primarily rooted in Machine Learning (ML) or deep learning, are becoming the new de facto standard in many areas of computational structural biology, enabling the prediction of protein structures in the hundreds of millions . Others are directly integrated into experimental workflows for structure determination, with modeling of large protein complexes and Molecular Dynamics (MD) simulations being core components of integrative structural biology.
[122] Structural biology: A golden era - PMC — Excellent follow-up advances in the prediction of protein–protein interactions and automatization of pipelines have been made with AlphaFold-Multimer and AlphaPullDown , respectively, as well as on generation of models loaded with their ligands with AlphaFill , which “transplants” small molecules and ions from experimentally determined structures to predicted protein models. Due to the nature of the prediction and the available training dataset, AlphaFold2 does not accurately model protein aggregation, macromolecular complexes (in particular protein–nucleic acids interactions, macromolecule–ligand interactions, and structural rearrangements triggered by, e.g., ligand binding), or external factors (e.g., pH, temperature, or conformationally dynamic systems), and further developments will be required (Box 1). Available from: https://www.biorxiv.org/content/10.1101/2022.11.21.517405v2 [DOI] [PMC free article] [PubMed] [Google Scholar]
[123] The next decade in structural biology: Structure - Cell Press — These advances will enable the visualization of continuously changing structural states of complexes within each biochemical preparation, ushering in a deeper understanding of biochemical mechanisms and providing invaluable information for drug design in both academic and industrial research.
[129] Bridging structural and cell biology with cryo-electron microscopy — Bridging structural and cell biology with cryo-electron microscopy | Nature Bridging structural and cell biology with cryo-electron microscopy Here we discuss how the interplay between cryo-EM and cryo-electron tomography, as a connecting bridge to visualize macromolecules in situ, holds great promise to create comprehensive structural depictions of macromolecules as they interact in complex mixtures or, ultimately, inside the cell itself. Cryo-electron tomography on focused ion beam lamellae transforms structural cell biology. Bringing structure to cell biology with cryo-electron tomography. Cryo-electron tomography: the challenge of doing structural biology in situ. Tailoring cryo-electron microscopy grids by photo-micropatterning for in-cell structural studies. TomoTwin: generalized 3D localization of macromolecules in cryo-electron tomograms with structural data mining. Bridging structural and cell biology with cryo-electron microscopy.
[130] X-rays in the Cryo-EM Era: Structural Biology's Dynamic Future — Over the past several years, single-particle cryo-electron microscopy (cryo-EM) has emerged as a leading method for elucidating macromolecular structures at near-atomic resolution, rivaling even the established technique of X-ray crystallography. In 1990, Henderson and colleagues reported the first EM structure to near-atomic resolution using cryo-cooled crystals of bacteriorhodopsin.29 However, with the success of X-ray crystallography, the next frontier in EM was in obtaining 3D structures from randomly oriented single particles, rather than relying on samples in highly periodic arrays. Although cryo-EM has become more like X-ray crystallography in terms of accessible samples and achievable resolution, its differences have also become more apparent, signaling the start of a new era in structural biology where the unique capabilities of both techniques can be leveraged to produce complementary, rather than competing, views of biological macromolecules.
[134] Trop2-targeted therapies in solid tumors: advances and future ... — Recent advances in structural biology have uncovered the unique oligomerization properties of Trop2, which are critical in oncogenic signaling pathways and associated with poor prognosis 45-47. Furthermore, the large extracellular domain (ECD) makes it an ideal therapeutic target for Trop2-targeted drugs that are designed to block its oncogenic
[135] Powering Breakthroughs in Targeted Cancer Therapies — Advances in structural biology helped prove this assumption wrong and informed the development of the first KRAS inhibitors, which teams at MSK helped lead to FDA approval in 2021 and 2022. The initial breakthrough came in 2013, when researchers at the University of California, San Francisco, reported a novel — and successful — approach to
[136] Big step toward targeted molecular therapies for cancer — In a pair of papers recently published in Nature, a team of scientists led by Harvard’s Department of Chemistry and Chemical Biology (CCB) has demonstrated how both small molecules and genetic mutations can alter the same critical protein interactions in cancer cells. “Our research has centered on understanding how specific mutations in medulloblastoma, a pediatric brain cancer, mimic the action of ‘molecular glues’ to drive oncogenic processes,” said senior author Brian Liau, associate professor of chemistry and chemical biology. In the companion study, the researchers investigated cancer-causing mutations in the KBTBD4 protein, often mutated in a type of brain cancer. Going forward, Liau’s lab plans to further explore these molecular strategies, searching for more instances of genetic mutations that can induce new protein interactions to aid chemical design.
[150] Structural Pharmacology < Pharmacology - Yale School of Medicine — This is done in small-molecule drug discovery where, for example, enzyme inhibitors can be optimized using structural biology techniques as a guide. Structural biology can also guide the discovery of new therapeutic mechanisms, for example designing targeted antibodies to alter cytokine signal transduction. The Department of Pharmacology at
[151] Boosting Med Chem Education: Integrating Biology for Drug Discovery ... — The integration of biology into medicinal chemistry is imperative, fueled by the need for biological insights. From drug research and development, biological understanding guides target identification, validation through cell and animal models, and drug design tailored to biological structures, optimizing ADME properties.
[152] Structural Systems Pharmacology: The Role of 3D Structures in Next ... — Integration of cellular networks with structurally derived conformational ensembles allows, in principle, to aim at proteins other than the obvious targets in the pathway. ... the need of considering the complexity of physiological responses to treatments at very early stages of the drug development process. Systems pharmacology profits from
[153] Structural Biology in Drug Discovery | Wiley Online Books — With the most comprehensive and up-to-date overview of structure-based drug discovery covering both experimental and computational approaches, Structural Biology in Drug Discovery: Methods, Techniques, and Practices describes principles, methods, applications, and emerging paradigms of structural biology as a tool for more efficient drug development. Coverage includes successful examples
[154] Overcoming challenges in structural biology with integrative approaches ... — These multidisciplinary strategies combine low- and high-resolution structural biology techniques with computational tools (including machine learning algorithms) and state-of-the-art molecular biology.
[162] Molecular & Structural Biology: An Overview — Applications and Importance Drug Discovery. Molecular and structural biology play pivotal roles in drug discovery. Understanding the molecular structures of target proteins allows researchers to design small molecules that specifically interact with these targets. 13 For example, structural insights into protein kinase B (AKT) have brought about the development of targeted cancer therapies. 14
[163] Structural Biology: Techniques & Importance - StudySmarter — Importance in Medicine: Structural biology is vital for drug design, understanding disease mechanisms, and developing new therapies. ... The main challenges in structural biology research include obtaining high-resolution structures of complex and dynamic biomolecules, dealing with limited amounts of biological samples, improving computational
[168] AlphaFold: The AI Breakthrough Redefining Medicine and Drug Discovery — This review underscores AlphaFold's critical contributions to science, offering a foundation for future research in structural biology, personalized medicine, and drug discovery. Its open-source availability ensures widespread access, fostering global collaboration and innovation.
[170] Revolutionizing Personalized Medicine: Synergy with Multi-Omics Data ... — The history of personalized medicine is punctuated by significant milestones in genetics, technology, and clinical applications, shifting healthcare from a one-size-fits-all approach to a more individualized understanding of the molecular basis of health and disease and effective treatment strategies . Advances in genomics and biotechnology in the 21st century are enabling more personalized approaches to medicine, predicting disease risks, and tailoring treatments to individual genetic profiles. Personalized medicine leverages these images in conjunction with genetic data to gain deeper insights into disease mechanisms in individual patients, enhancing precision in diagnosis and treatment strategies . Through the integration of genetic, molecular, and clinical data, personalized medicine enables more accurate diagnosis, precise treatment targeting, and effective disease management.
[186] Structural biology in antiviral drug discovery - PMC — Several biologically active compounds discovered by structure-based design are now drugs in the market, confirming the crucial role played by structural biology in drug development , while protein structure determination has become one of the earliest and most crucial steps for many drug-discovery programs of pharmaceutical companies .
[187] Emerging Role of Structural and Systems Biology in Anticancer Therapeutics — Structural biology methods presently play a significant role in the development of new therapeutic drugs such as approaches for cancer therapies. Structural biology is fundamental for recognizing how proteins and genes function and provides us with the necessary clues to design effective cancer therapies. X-ray crystallography has been established to be a dominant instrument in an essential
[188] Structural biology and cancer - PMC — The techniques of structural biology currently play an important role in the development of novel therapeutic agents including cancer chemotherapies. X-ray crystallography has proved to be a particularly powerful tool for both the discovery of novel compounds and their subsequent development.
[189] Structural Biology - The Institute of Cancer Research, London — By combining structural biology with biochemistry and functional studies, researchers are able to gain an understanding of important biochemical interactions in the spread of cancer throughout a patient's body. Consequently, several group leaders in Structural biology have joint appointments with other divisions (e.g. Cancer Biology and Cancer Therapeutics) to facilitate the exploitation of
[190] Cancer Chemical and Structural Biology Program — The Cancer Chemical and Structural Biology Program brings together faculty with strengths in cancer biology, chemistry, structural biology, engineering, pharmacology, and translation science to discover and validate new drug leads and to help turn them into new therapies.
[196] Structural genomics and drug discovery for infectious diseases — The Center for Structural Genomics of Infectious Diseases (CSGID) was recently established to apply state-of-the-art high throughput structural biology technologies to the characterization of proteins from the National Institute for Allergy and Infectious Diseases (NIAID) category A-C pathogens and organisms causing emerging, or re-emerging
[197] Structural review of SARS-CoV-2 antiviral targets - Cell Press — In this review, Cui et al. summarize the impact that structural biology has made in SARS-CoV-2 therapeutic development. The authors describe the structural features of SARS-CoV-2 spike protein variants, proteases, and replication and transcription complexes. They discuss mechanistically representative antivirals, highlighting those that have been approved or are under clinical investigation.
[199] Structural Virology: The Key Determinants in Development of Antiviral ... — Structural virology has emerged as the foundation for the development of effective antiviral therapeutics. It is pivotal in providing crucial insights into the three-dimensional frame of viruses and viral proteins at atomic-level or near-atomic-level resolution. Structure-based assessment of viral components, including capsids, envelope proteins, replication machinery, and host interaction
[207] Principles for Integrative Structural Biology Studies - Cell Press — Integrative structure determination is a powerful approach to modeling the structures of biological systems based on data produced by multiple experimental and theoretical methods, with implications for our understanding of cellular biology and drug discovery. This Primer introduces the theory and methods of integrative approaches, emphasizing the kinds of data that can be effectively included
[208] PDF — referred to as integrative structural biology (ISB) [7-9]. ISB is a catch-all term that generally indicates the combination of a classical structural biology technique and any other tech-nique that gives structural information to form a more complete, higher resolution picture than can be created with classical structural biology alone .
[210] Towards Structural Systems Pharmacology to Study Complex Diseases and ... — In the context of personalized medicine in the treatment of complex diseases, a critically important but less-addressed problem is the need to reconstruct genome-scale, structure-based gene regulatory networks. ... Wilson ID (2009) Drugs, bugs, and personalized medicine: pharmacometabonomics enters the ring. Proc Natl Acad Sci U S A 106: 14187
[211] Integrating computational biology and multiomics data for precision ... — Integrating computational biology and multiomics data for precision medicine in personalized cancer treatment - ScienceDirect Chapter 14 - Integrating computational biology and multiomics data for precision medicine in personalized cancer treatment In the pursuit of advancing personalized cancer treatment, this research explores the integration of computational biology methodologies with multiomics data analysis. Through the integration of computational biology and multiomics data, this research endeavors to propel the paradigm of precision medicine toward a more refined and individualized approach in the realm of cancer therapeutics. Copyright © 2025 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies. Brawley, …, Sara R. For all open access content, the Creative Commons licensing terms apply.
[212] Personalized medicine approaches for colon cancer driven by genomics ... — In a new era of personalized medicine, systems biology approaches and mathematical modeling integrate current technological advances in omics techniques to create a truly personalized model of the tumor and, potentially, of the patient. ... These models therefore represent a unique resource for the study of tumor response to drug treatment and
[214] Revolutionizing Personalized Medicine: Synergy with Multi-Omics Data ... — The history of personalized medicine is punctuated by significant milestones in genetics, technology, and clinical applications, shifting healthcare from a one-size-fits-all approach to a more individualized understanding of the molecular basis of health and disease and effective treatment strategies . Advances in genomics and biotechnology in the 21st century are enabling more personalized approaches to medicine, predicting disease risks, and tailoring treatments to individual genetic profiles. Personalized medicine leverages these images in conjunction with genetic data to gain deeper insights into disease mechanisms in individual patients, enhancing precision in diagnosis and treatment strategies . Through the integration of genetic, molecular, and clinical data, personalized medicine enables more accurate diagnosis, precise treatment targeting, and effective disease management.
[215] The future of integrated structural biology - Cell Press — In this review, Schwalbe et al. discuss a comprehensive perspective on the challenges and opportunities posed by integrated structural biology. They foresee that integrated structural biology will be done routinely and its success will rely on 5 frontiers: sample preparation, in situ cellular biology, dynamics, translational biology, and artificial intelligence.
[216] Reporting on the future of integrative structural biology ORAU workshop — Integrative and hybrid methods have the potential to bridge long-standing knowledge gaps in structural biology. These methods will have a prominent role in the future of the field as we make advances toward a complete, unified representation of biology that spans the molecular and cellular scales.
[218] A paradigm shift in structural biology | Nature Methods — Advertisement A paradigm shift in structural biology Nature Methods volume 19, pages 20–23 (2022)Cite this article 30k Accesses 18 Citations 121 Altmetric Metrics details Subjects The release of protein structure predictions from AlphaFold will increase the number of protein structural models by almost three orders of magnitude. Combining these advances in structure prediction with recent advances in cryo-electron microscopy suggests a new paradigm for structural biology. The astonishing accuracy with which protein folds can now be predicted by the programs AlphaFold (developed at DeepMind2, a subsidiary of Alphabet Inc.) and RoseTTAFold (developed at the University of Washington in Seattle3) represents a dramatic advance in structural biology. The arrival of AlphaFold and RoseTTAFold heralds a paradigm shift7 in structural biology. Although there have been methods to predict structure for a long time, the jump in accuracy achieved by AlphaFold makes model generation from sequence a more credible proposition than before, opening the door to the use of protein structural models (instead of just sequences) by biologists, geneticists, medicinal chemists and physiologists and thus redefining boundaries between disciplines in biology.
[252] Structure is beauty, but not always truth - Cell Press — Structural biology, as powerful as it is, can be misleading. We highlight four fundamental challenges: interpreting raw experimental data; accounting for motion; addressing the misleading nature of in vitro structures; and unraveling interactions between drugs and "anti-targets." Overcoming these challenges will amplify the impact of structural biology on drug discovery.
[253] Challenges in Structural Biology | Janelia Research Campus — Advances in light sources and other instrumentation over the last 20 years have pushed the limits of what can be studied by various structural biology methods. Larger, much more challenging molecular ensembles have been studied at unprecedented resolutions, and with ever-smaller and challenging specimens.
[256] Understanding the cell: Future views of structural biology - Cell Press — Cell biology usually lacks the structural resolution to understand the role of individual molecules and the choreography that organizes them in functional units, which ultimately distinguishes a living cell from an inanimate object. To gain this understanding, the integration of structural and cellular biology is an outstanding challenge.
[258] Cryo-focused ion beam for in situ structural biology: State of the art ... — This review describes the current state-of-the-art capabilities of cryo-FIB technology and its applications in structural cell and tissue biology. We discuss recent advances in instrumentation, imaging modalities, automation, sample preparation protocols, and targeting techniques.
[259] Recent advances in small-angle scattering and its expanding ... - PubMed — Applications of small-angle scattering (SAS) in structural biology have benefited from continuing developments in instrumentation, tools for data analysis, modeling capabilities, standards for data and model presentation, and data archiving. The interplay of these capabilities has enabled SAS to con …
[260] The future of integrated structural biology - Cell Press — In this review, Schwalbe et al. discuss a comprehensive perspective on the challenges and opportunities posed by integrated structural biology. They foresee that integrated structural biology will be done routinely and its success will rely on 5 frontiers: sample preparation, in situ cellular biology, dynamics, translational biology, and artificial intelligence.
[261] Understanding the cell: Future views of structural biology — Traditional in vitro structural biology techniques, such as single-particle cryo-electron microscopy (cryo-EM) or X-ray crystallography, have difficulties in capturing low-abundant or dynamic species and transition states. They usually select for high resolution based on the averaging of large numbers of homogeneous particles.
[269] Combining X-Ray Crystallography and Electron Microscopy — Combining X-Ray Crystallography and Electron Microscopy - ScienceDirect Search ScienceDirect Combining X-Ray Crystallography and Electron Microscopy Author links open overlay panelMichael G. The combination of cryo-electron microscopy to study large biological assemblies at low resolution with crystallography to determine near atomic structures of assembly fragments is quickly expanding the horizon of structural biology. Previous article in issue Next article in issue Recommended articles Copyright © 2005 Elsevier Ltd. All rights reserved. Recommended articles No articles found. Article Metrics View article metrics Cookies are used by this site. All content on this site: Copyright © 2024 Elsevier B.V., its licensors, and contributors. For all open access content, the Creative Commons licensing terms apply.
[270] How cryo‐electron microscopy and X‐ray crystallography complement each ... — In a recent example, the crystal structure of Ryanodine receptor 1's SPRY2 domain (∼50 kDa) was docked as a rigid body into a 10 Å resolution cryo‐EM map of the entire complex (∼1.5 MDa) (Fig. 2).14 The best scored result by the Colores program of Situs turned out to define the domain's location and orientation quite precisely to agree with the same domain in the high resolution structure of the complex in a 3.8 Å structure solved more recently by single particle cryo‐EM.15 The RMSD between the Cα atoms of the docked SPRY2 model and the high resolution atomic model of the complex was only 2.1 Angstrom.
[283] PDF — This article examines potential binding sites for new therapeutics. Structure-based the methodologies, applications and future directions of structural drug design allows for the rational development of small biology. molecules that specifically target these proteins, improving the efficacy and safety of treatments.
[289] Recent breakthroughs in computational structural biology harnessing the ... — Theoretical modeling and machine learning methods enable accurate protein structure prediction. Recent years have witnessed substantial developments in computational biology at several scales (Figure 1), enabling the structural and functional characterization of an unprecedented number of proteins and protein complexes, as well as modulating and designing the interactions and functionalities of these molecules. New theoretical models and algorithms, primarily rooted in Machine Learning (ML) or deep learning, are becoming the new de facto standard in many areas of computational structural biology, enabling the prediction of protein structures in the hundreds of millions . Others are directly integrated into experimental workflows for structure determination, with modeling of large protein complexes and Molecular Dynamics (MD) simulations being core components of integrative structural biology.
[290] A paradigm shift in structural biology | Nature Methods — Advertisement A paradigm shift in structural biology Nature Methods volume 19, pages 20–23 (2022)Cite this article 30k Accesses 18 Citations 121 Altmetric Metrics details Subjects The release of protein structure predictions from AlphaFold will increase the number of protein structural models by almost three orders of magnitude. Combining these advances in structure prediction with recent advances in cryo-electron microscopy suggests a new paradigm for structural biology. The astonishing accuracy with which protein folds can now be predicted by the programs AlphaFold (developed at DeepMind2, a subsidiary of Alphabet Inc.) and RoseTTAFold (developed at the University of Washington in Seattle3) represents a dramatic advance in structural biology. The arrival of AlphaFold and RoseTTAFold heralds a paradigm shift7 in structural biology. Although there have been methods to predict structure for a long time, the jump in accuracy achieved by AlphaFold makes model generation from sequence a more credible proposition than before, opening the door to the use of protein structural models (instead of just sequences) by biologists, geneticists, medicinal chemists and physiologists and thus redefining boundaries between disciplines in biology.
[300] A paradigm shift in structural biology | Nature Methods — Advertisement A paradigm shift in structural biology Nature Methods volume 19, pages 20–23 (2022)Cite this article 30k Accesses 18 Citations 121 Altmetric Metrics details Subjects The release of protein structure predictions from AlphaFold will increase the number of protein structural models by almost three orders of magnitude. Combining these advances in structure prediction with recent advances in cryo-electron microscopy suggests a new paradigm for structural biology. The astonishing accuracy with which protein folds can now be predicted by the programs AlphaFold (developed at DeepMind2, a subsidiary of Alphabet Inc.) and RoseTTAFold (developed at the University of Washington in Seattle3) represents a dramatic advance in structural biology. The arrival of AlphaFold and RoseTTAFold heralds a paradigm shift7 in structural biology. Although there have been methods to predict structure for a long time, the jump in accuracy achieved by AlphaFold makes model generation from sequence a more credible proposition than before, opening the door to the use of protein structural models (instead of just sequences) by biologists, geneticists, medicinal chemists and physiologists and thus redefining boundaries between disciplines in biology.
[302] The future of integrated structural biology - Cell Press — They foresee that integrated structural biology will be done routinely and its success will rely on 5 frontiers: sample preparation, in situ cellular biology, dynamics, translational biology, and artificial intelligence. ... The recent advances in AI also provide opportunities for structure-based construct design for protein production.
[303] AlphaFold two years on: Validation and impact - PNAS — The arrival of AlphaFold has been a transformative event in the field of structural biology. We have reviewed some of the many ways the method has been applied in the field, from accelerating experimental structure determination and protein design to discovering and understanding protein-protein interactions.
[305] AlphaFold2 and its applications in the fields of biology and medicine — Advertisement View all journals Search Log in Explore content About the journal Publish with us Sign up for alerts RSS feed nature signal transduction and targeted therapy review articles article AlphaFold2 and its applications in the fields of biology and medicine Download PDF Download PDF Review Article Open access Published: 14 March 2023 AlphaFold2 and its applications in the fields of biology and medicine Zhenyu Yang1, Xiaoxi Zeng1, Yi Zhao ORCID: orcid.org/0000-0001-6046-84201,2 & … Runsheng Chen1,3,4 Show authorsSignal Transduction and Targeted Therapy volume 8, Article number: 115 (2023) Cite this article 65k Accesses 133 Altmetric Metrics details Subjects Computational biology and bioinformatics Structural biology Abstract AlphaFold2 (AF2) is an artificial intelligence (AI) system developed by DeepMind that can predict three-dimensional (3D) structures of proteins from amino acid sequences with atomic-level accuracy. The advent of AF2 presents an unprecedented progress in protein structure prediction and has attracted much attention. Subsequent release of structures of more than 200 million proteins predicted by AF2 further aroused great enthusiasm in the science community, especially in the fields of biology and medicine. AF2 is thought to have a significant impact on structural biology and research areas that need protein structure information, such as drug discovery, protein design, prediction of protein function, et al. To better understand AF2 and promote its applications, we will in this article summarize the principle and system architecture of AF2 as well as the recipe of its success, and particularly focus on reviewing its applications in the fields of biology and medicine.
[306] Structural biology in the age of AI - Nature Methods — AI won't replace experimental structural biology, but integrating AI with high-throughput experimental studies will shape the future of structural biology. References Jumper, J. et al. Nature
[307] Cryo-EM and AI: Revolutionizing Biological Imaging | SERP AI — Looking ahead, the combination of cryo-EM with AI technologies holds the promise of revolutionizing structural biology and drug discovery. The ability to process and interpret large, complex datasets will be crucial as the field expands its scope from single protein structures to complete cellular assemblies.
[309] How AI is Transforming Cryo-EM Data Analysis — In this article, we explore the pivotal role AI plays in cryo-EM data analysis, from particle picking to 3D reconstruction and beyond, and how it is accelerating breakthroughs in drug discovery and structural biology. | AlphaFold-CryoEM Integration | AlphaFold, the AI-powered protein structure prediction tool, is now being integrated into cryo-EM workflows to accelerate the fitting of initial models into cryo-EM density maps. AI and machine learning techniques, particularly deep learning models, are now being employed to significantly improve the analysis of structural heterogeneity in cryo-EM data. Structural Biology Services Custom Protein Production Protein Engineering and Analysis Virus-like Particle (VLP) Services Liposome Services Exosome Services UniCrys™ Crystallization Products MagHelix™ Electron Microscopy Products Virus-like Particle Products Liposome Products Exosome Products Membrane Proteins & Nanodiscs
[310] Artificial intelligence in cryo-EM protein particle picking: recent ... — To make AI methods for cryo-EM more accessible, it is crucial to prioritize user-friendly design and integration within existing software that are commonly used by structural biologists. Tools like modular plugins or add-ons for platforms like CryoSPARC, RELION, and EMAN can simplify the process, allowing non-experts to benefit from AI-based
[311] Applications and prospects of cryo-EM in drug discovery — The combination of cryo-EM and AI provides an opportunity to minimize limitations of cryo-EM such as automation, throughput and interpretation of medium-resolution maps, and tends to be the new direction of future development of cryo-EM. The rapid development of cryo-EM will make it as an indispensable part of modern drug discovery.
[312] Revolutionizing Structural Biology with AI and Cryo-EM — Revolutionizing Structural Biology with AI and Cryo-EM – Textify Analytics Revolutionizing Structural Biology with AI and Cryo-EM ====================================================== In the rapidly evolving field of structural biology, the integration of artificial intelligence (AI) with cryo-electron microscopy (cryo-EM) is paving the way for groundbreaking discoveries. Recently, a significant advancement has been made with the development of Cryo-IEF and CryoWizard, two innovative tools designed to enhance the accessibility and efficiency of cryo-EM in research laboratories. One of the primary goals of integrating AI with cryo-EM is to democratize access to this powerful technology. The ongoing collaboration between AI and cryo-EM holds immense potential for transforming our understanding of biological processes and accelerating scientific breakthroughs. The integration of AI with cryo-EM, exemplified by Cryo-IEF and CryoWizard, is revolutionizing the field of structural biology.
[322] Advances in cryo-electron microscopy (cryoEM) for structure-based drug ... — This review examines recent advancements in cryoEM for drug discovery, analyzing structure quality metrics, resolution improvements, metal-ligand and water molecule identification, and refinement software.
[323] Cryo-EM in drug discovery: achievements, limitations and prospects — Cryo-EM in drug discovery: achievements, limitations and prospects - PubMed Search: Search Your saved search Name of saved search: Search in PubMed Search in PubMed These advances have raised hopes that single-particle cryo-EM might soon become an important tool for drug discovery, particularly if they could enable structural determination for 'intractable' targets that are still not accessible to X-ray crystallographic analysis. Sample preparation of biological macromolecular assemblies for the determination of high-resolution structures by cryo-electron microscopy. Stark H, et al. Cryo-electron microscopy and X-ray crystallography: complementary approaches to structural biology and drug discovery. Search in PubMed Search in PubMed Search in PubMed Search in PubMed Search in PubMed Search in PubMed Search in PubMed Search in PubMed
[324] Resolution advances in cryo-EM enable application to drug discovery — Here, we review recent advances in this field, focusing especially on the emerging use of cryo-EM in mapping the binding of drugs and inhibitors to protein targets, an application that requires structure determination at the highest possible resolutions.
[325] Bottom-up structural proteomics: cryoEM of protein complexes ... - Nature — In fact, cryoEM has the added advantage of the potential for achieving multiple high-resolution structures of several different conformational states of a single protein complex 10, or even