Literature DB >> 25237616

Protein dynamics via computational microscope.

Anton B Guliaev1, Senping Cheng1, Bo Hang1.   

Abstract

The purpose of this overview is to provide a concise introduction to the methodology and current advances in molecular dynamics (MD) simulations. MD simulations emerged as a powerful and popular tool to study dynamic behavior of proteins and macromolecule complexes at the atomic resolution. This approach can extend static structural data, such as X-ray crystallography, into dynamic domains with realistic timescales (up to millisecond) and high precision, therefore becoming a veritable computational microscope. This perspective covers current advances and methodology in the simulation of protein folding and drug design as illustrated by several important published examples. Overall, recent progress in the simulation field points to the direction that MD will have significant impact on molecular biology and pharmaceutical science.

Keywords:  Computer simulations; Force field; Molecular Dynamics; Protein folding; X-ray crystallography

Year:  2012        PMID: 25237616      PMCID: PMC4145563          DOI: 10.5662/wjm.v2.i6.42

Source DB:  PubMed          Journal:  World J Methodol        ISSN: 2222-0682


  54 in total

Review 1.  Molecular dynamics simulations of biomolecules.

Authors:  Martin Karplus; J Andrew McCammon
Journal:  Nat Struct Biol       Date:  2002-09

Review 2.  Protein folding and misfolding.

Authors:  Christopher M Dobson
Journal:  Nature       Date:  2003-12-18       Impact factor: 49.962

Review 3.  Protein flexibility and computer-aided drug design.

Authors:  Chung F Wong; J Andrew McCammon
Journal:  Annu Rev Pharmacol Toxicol       Date:  2002-01-10       Impact factor: 13.820

4.  How fast-folding proteins fold.

Authors:  Kresten Lindorff-Larsen; Stefano Piana; Ron O Dror; David E Shaw
Journal:  Science       Date:  2011-10-28       Impact factor: 47.728

5.  Accommodation of aminoacyl-tRNA into the ribosome involves reversible excursions along multiple pathways.

Authors:  Paul C Whitford; Peter Geggier; Roger B Altman; Scott C Blanchard; José N Onuchic; Karissa Y Sanbonmatsu
Journal:  RNA       Date:  2010-04-28       Impact factor: 4.942

Review 6.  Long-timescale molecular dynamics simulations of protein structure and function.

Authors:  John L Klepeis; Kresten Lindorff-Larsen; Ron O Dror; David E Shaw
Journal:  Curr Opin Struct Biol       Date:  2009-04-08       Impact factor: 6.809

7.  GPU-accelerated molecular modeling coming of age.

Authors:  John E Stone; David J Hardy; Ivan S Ufimtsev; Klaus Schulten
Journal:  J Mol Graph Model       Date:  2010-07-08       Impact factor: 2.518

Review 8.  Discovery through the computational microscope.

Authors:  Eric H Lee; Jen Hsin; Marcos Sotomayor; Gemma Comellas; Klaus Schulten
Journal:  Structure       Date:  2009-10-14       Impact factor: 5.006

9.  Structure and dynamics of the M3 muscarinic acetylcholine receptor.

Authors:  Andrew C Kruse; Jianxin Hu; Albert C Pan; Daniel H Arlow; Daniel M Rosenbaum; Erica Rosemond; Hillary F Green; Tong Liu; Pil Seok Chae; Ron O Dror; David E Shaw; William I Weis; Jürgen Wess; Brian K Kobilka
Journal:  Nature       Date:  2012-02-22       Impact factor: 49.962

10.  The future of molecular dynamics simulations in drug discovery.

Authors:  David W Borhani; David E Shaw
Journal:  J Comput Aided Mol Des       Date:  2011-12-20       Impact factor: 3.686

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.