Protein-folding dynamics: overview of molecular simulation techniques.

Annu Rev Phys Chem

Baker Laboratory of Chemistry and Chemical Biology, Cornell University, Ithaca, NY 14853-1301, USA.

Published: August 2007

AI Article Synopsis

  • Molecular dynamics (MD) is an essential computational method for analyzing protein folding processes.
  • Recent advancements in computing and simulation techniques, like replica-exchange MD and physics-based models, allow researchers to explore protein-folding pathways starting from fully unfolded proteins.
  • This review discusses various MD algorithms, their enhancements, and how they apply to studying protein folding using different modeling approaches, including all-atom and reduced models.

Article Abstract

Molecular dynamics (MD) is an invaluable tool with which to study protein folding in silico. Although just a few years ago the dynamic behavior of a protein molecule could be simulated only in the neighborhood of the experimental conformation (or protein unfolding could be simulated at high temperature), the advent of distributed computing, new techniques such as replica-exchange MD, new approaches (based on, e.g., the stochastic difference equation), and physics-based reduced models of proteins now make it possible to study protein-folding pathways from completely unfolded structures. In this review, we present algorithms for MD and their extensions and applications to protein-folding studies, using all-atom models with explicit and implicit solvent as well as reduced models of polypeptide chains.

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Source
http://dx.doi.org/10.1146/annurev.physchem.58.032806.104614DOI Listing

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