Biomolecular Science Overview

Principles

Definition

Biomolecular science is an interdisciplinary research field dedicated to investigating the structure, function, dynamics, and interactions of biological macromolecules and other essential molecules within living organisms at the molecular level. It employs principles and methodologies from chemistry, physics, and biology to elucidate fundamental biological processes and mechanisms critical for life.

Ontological type

Experimental Techniques

Biological Applications

Core Subfields

Key developments

Key Figures

Quantitative Macromolecular Characterization era

R. B. Merrifield [1] emerged as a leading figure in this era, working across such centers as Rockefeller University [2] and the University of California, Los Angeles [3]. His key contribution was the development of solid-phase peptide synthesis, notably described in <b>Solid Phase Peptide Synthesis. I. The Synthesis of a Tetrapeptide</b> [4], which transformed the synthesis of defined macromolecules and underpinned reproducible purification and profiling workflows essential for macromolecular characterization in this era. Merrifield [1]'s innovations provided a methodological bridge that linked peptide synthesis to analytic workflows by enabling programmable assembly of polypeptides, reinforcing the era's emphasis on measurable macromolecular properties. The enduring impact of Merrifield [1] lies in enabling rapid, programmable synthesis of defined macromolecules, a foundation for subsequent molecular biology and diagnostic advances in this era.

Biophysical Computational Convergence era

Peter A. Kollman [1], affiliated with Harvard University [3] and the University of California, San Francisco [4], was a leading figure in biophysics during this era. His key contributions included the development of a new force field for molecular mechanical simulation of nucleic acids and proteins [5], which enabled more realistic modeling of biomolecular structure and dynamics and helped unify experimental and computational approaches in this era. David A. Case [2], also associated with Harvard University [3] and the University of California, San Francisco [4], contributed to this convergence as a collaborative force behind developing and applying computational models in this period. Case co-authored the 1984 force field paper [5], helping establish transferable force fields and enabling quantitative, dynamics-oriented insights that were central to biophysical computation during the Biophysical Computational Convergence era.

Integrated Scalable Structural Biology era

Alexandre M. J. J. Bonvin [1] is a leading figure in integrative structural biology during this era, with affiliations at Radboud University Nijmegen [3] and Heidelberg University [4]. His key contributions in this era include advancing user-friendly, web-based integrative modeling through The HADDOCK2.2 Web Server: User-Friendly Integrative Modeling of Biomolecular Complexes [7], which enabled scalable, hypothesis-driven modeling of biomolecular complexes and broadened accessibility for researchers. Lei Zheng [2] is a leading figure in this era, with affiliations at the Center for Life Sciences [5] and Johns Hopkins University [6]. Zheng's contributions include establishing Minimal information for studies of extracellular vesicles (MISEV2023): From basic to advanced approaches [8], a set of standards that underpins data quality and interoperability in scalable profiling and diagnostics.