Simulation of protein folding by reaction path annealing

作者: Peter Eastman , Niels Grønbech-Jensen , Sebastian Doniach

DOI: 10.1063/1.1342162

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摘要: We present a systematic application of reaction path sampling to computer simulations the folding peptides and small proteins at atomic resolution in presence solvent. use simulated annealing protocol generate an ensemble room temperature trajectories fixed length, which connect predetermined initial final states. The are distributed according discretized version Onsager–Machlup action functional. show that, despite enormous practical restrictions placed on number time slices can be explored, some basic kinetic features found experimentally for exhibited nature paths sampled. test method three systems: A 12 residue α-helical peptide, 16 β-hairpin 36 avian Pancreatic Polypeptide (aPP). All systems represented resolution, include explicit water molecules. For α-helix, we find that (i,i+3) hydrogen bonds play significant role pathway, with specific appearing, then transforming corresponding (i,i+4) bond some, but not all native bonds. aPP, hydrophobic interactions dominant role, nonbonded consistently appearing before This is true both level tertiary structure, individual tend form only after stabilizing have already formed between residues involved.

参考文章(74)
V. S. Pande, D. S. Rokhsar, Molecular dynamics simulations of unfolding and refolding of a [Beta]-hairpin fragment of protein G Proceedings of the National Academy of Sciences of the United States of America. ,vol. 96, pp. 9062- 9067 ,(1999) , 10.1073/PNAS.96.16.9062
Hui Lu, Barry Isralewitz, André Krammer, Viola Vogel, Klaus Schulten, Unfolding of Titin Immunoglobulin Domains by Steered Molecular Dynamics Simulation Biophysical Journal. ,vol. 75, pp. 662- 671 ,(1998) , 10.1016/S0006-3495(98)77556-3
Investigation of Protein Unfolding and Stability by Computer Simulation Philosophical Transactions of the Royal Society B. ,vol. 348, pp. 49- 59 ,(1995) , 10.1098/RSTB.1995.0045
A. V. Finkelstein, Can protein unfolding simulate protein folding Protein Engineering. ,vol. 10, pp. 843- 845 ,(1997) , 10.1093/PROTEIN/10.8.843
Akio Kitao, Steven Hayward, Nobuhiro Go, Energy landscape of a native protein: Jumping-among-minima model Proteins: Structure, Function, and Genetics. ,vol. 33, pp. 496- 517 ,(1998) , 10.1002/(SICI)1097-0134(19981201)33:4<496::AID-PROT4>3.0.CO;2-1
Berk Hess, Henk Bekker, Herman J. C. Berendsen, Johannes G. E. M. Fraaije, LINCS : A linear constraint solver for molecular simulations Journal of Computational Chemistry. ,vol. 18, pp. 1463- 1472 ,(1997) , 10.1002/(SICI)1096-987X(199709)18:12<1463::AID-JCC4>3.0.CO;2-H
Nikolay V. Dokholyan, Sergey V. Buldyrev, H.Eugene Stanley, Eugene I. Shakhnovich, Identifying the protein folding nucleus using molecular dynamics 1 1Edited by A. R. Fersht Journal of Molecular Biology. ,vol. 296, pp. 1183- 1188 ,(2000) , 10.1006/JMBI.1999.3534
Hue Sun Chan, Ken A. Dill, Protein folding in the landscape perspective: Chevron plots and non-arrhenius kinetics Proteins: Structure, Function, and Genetics. ,vol. 30, pp. 2- 33 ,(1998) , 10.1002/(SICI)1097-0134(19980101)30:1<2::AID-PROT2>3.0.CO;2-R