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PMID: 20070076 Published · ppublish English Journal Article Research Support, N.I.H., Extramural Research Support, U.S. Gov't, Non-P.H.S.

Molecular simulation of ab initio protein folding for a millisecond folder NTL9(1-39).

Journal of the American Chemical Society ·Vol. 132 ·No. 5 ·2010-02-10 ·Pages 1526-8

Voelz VA, Bowman GR, Beauchamp K, Pande VS

Abstract

To date, the slowest-folding proteins folded ab initio by all-atom molecular dynamics simulations have had folding times in the range of nanoseconds to microseconds. We report simulations of several folding trajectories of NTL9(1-39), a protein which has a folding time of approximately 1.5 ms. Distributed molecular dynamics simulations in implicit solvent on GPU processors were used to generate ensembles of trajectories out to approximately 40 micros for several temperatures and starting states. At a temperature less than the melting point of the force field, we observe a small number of productive folding events, consistent with predictions from a model of parallel uncoupled two-state simulations. The posterior distribution of the folding rate predicted from the data agrees well with the experimental folding rate (approximately 640/s). Markov State Models (MSMs) built from the data show a gap in the implied time scales indicative of two-state folding and heterogeneous pathways connecting diffuse mesoscopic substates. Structural analysis of the 14 out of 2000 macrostates transited by the top 10 folding pathways reveals that native-like pairing between strands 1 and 2 only occurs for macrostates with p(fold) > 0.5, suggesting beta(12) hairpin formation may be rate-limiting. We believe that using simulation data such as these to seed adaptive resampling simulations will be a promising new method for achieving statistically converged descriptions of folding landscapes at longer time scales than ever before.

MeSH Terms
Arabidopsis/chemistry Markov Chains Molecular Dynamics Simulation Protein Conformation Protein Folding Time Factors Transcription Factors/chemistry
Chemicals
Transcription Factors
Authors & Affiliations
4 authors, click to expand affiliations / ORCID
Voelz Vincent A
Department of Chemistry, Stanford University, Stanford, California 94305, USA.
Bowman Gregory R
Beauchamp Kyle
Pande Vijay S
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Article Info
Journal
Journal of the American Chemical Society
Abbr.
J Am Chem Soc
ISSN
1520-5126
Published
2010-02-10
Pages
1526-8
Language
English
Region
United States
NLM ID
7503056
PMCID
PMC2835335
Subset
IM
Grants
NIGMS NIH HHS · U54-GM072970 · United States
NIGMS NIH HHS · R01-GM062868 · United States
NIGMS NIH HHS · R01 GM062868 · United States
NIGMS NIH HHS · R01 GM062868-04 · United States
NIGMS NIH HHS · U54 GM072970 · United States
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