Current Bioinformatics · 2019 · 194 citations · 71 references
PharmacyMedicinal ChemistryComputational ChemistryDrug DiscoveryStructural BiologyChemical Space ExplorationComputational Drug DiscoveryLigand BindingMolecular DockingProtein-ligand DockingBinding Pose PredictionComputer-aided Drug DiscoveryDocking StudiesLigand FlexibilityLigand SolvationMedicinal Chemistry ApplicationsProtein FlexibilityReceptor Flexibility
Molecular docking positions ligands into receptor structures and is a core component of computer‑aided drug design, yet traditional methods are limited by static or semi‑flexible treatment of targets and ligands. This review introduces available docking methods and discusses their applications and limitations in drug discovery. Docking methods incorporate protein flexibility through ensembles or dynamic docking, which accounts for solvation, entropy, and fully explores drug‑receptor binding energetics and mechanisms. Recent advances have produced docking methods that include protein‑ligand flexibility, yielding more accurate binding pose predictions and a rational depiction of protein‑ligand interactions.
Molecular Docking is used to positioning the computer-generated 3D structure of small ligands into a receptor structure in a variety of orientations, conformations and positions. This method is useful in drug discovery and medicinal chemistry providing insights into molecular recognition. Docking has become an integral part of Computer-Aided Drug Design and Discovery (CADDD). Traditional docking methods suffer from limitations of semi-flexible or static treatment of targets and ligand. Over the last decade, advances in the field of computational, proteomics and genomics have also led to the development of different docking methods which incorporate protein-ligand flexibility and their different binding conformations. Receptor flexibility accounts for more accurate binding pose predictions and a more rational depiction of protein binding interactions with the ligand. Protein flexibility has been included by generating protein ensembles or by dynamic docking methods. Dynamic docking considers solvation, entropic effects and also fully explores the drug-receptor binding and recognition from both energetic and mechanistic point of view. Though in the fast-paced drug discovery program, dynamic docking is computationally expensive but is being progressively used for screening of large compound libraries to identify the potential drugs. In this review, a quick introduction is presented to the available docking methods and their application and limitations in drug discovery.
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