Biomolecular modeling and simulation: A field coming of age

Tamar Schlick, Rosana Collepardo-Guevara, Leif Arthur Halvorsen, Segun Jung, Xia Xiao

Research output: Contribution to journalArticlepeer-review

Abstract

We assess the progress in biomolecular modeling and simulation, focusing on structure prediction and dynamics, by presenting the field's history, metrics for its rise in popularity, early expressed expectations, and current significant applications. The increases in computational power combined with improvements in algorithms and force fields have led to considerable success, especially in protein folding, specificity of ligand/biomolecule interactions, and interpretation of complex experimental phenomena (e.g. NMR relaxation, protein-folding kinetics and multiple conformational states) through the generation of structural hypotheses and pathway mechanisms. Although far from a general automated tool, structure prediction is notable for proteins and RNA that preceded the experiment, especially by knowledge-based approaches. Thus, despite early unrealistic expectations and the realization that computer technology alone will not quickly bridge the gap between experimental and theoretical time frames, ongoing improvements to enhance the accuracy and scope of modeling and simulation are propelling the field onto a productive trajectory to become full partner with experiment and a field on its own right.

Original languageEnglish (US)
Pages (from-to)191-228
Number of pages38
JournalQuarterly Reviews of Biophysics
Volume44
Issue number2
DOIs
StatePublished - May 2011

ASJC Scopus subject areas

  • Biophysics

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