Literature DB >> 20070076

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

Vincent A Voelz1, Gregory R Bowman, Kyle Beauchamp, Vijay S Pande.   

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.

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Year:  2010        PMID: 20070076      PMCID: PMC2835335          DOI: 10.1021/ja9090353

Source DB:  PubMed          Journal:  J Am Chem Soc        ISSN: 0002-7863            Impact factor:   15.419


  28 in total

1.  Rapid cooperative two-state folding of a miniature alpha-beta protein and design of a thermostable variant.

Authors:  Jia-Cherng Horng; Viktor Moroz; Daniel P Raleigh
Journal:  J Mol Biol       Date:  2003-02-28       Impact factor: 5.469

2.  Understanding folding and design: replica-exchange simulations of "Trp-cage" miniproteins.

Authors:  Jed W Pitera; William Swope
Journal:  Proc Natl Acad Sci U S A       Date:  2003-06-13       Impact factor: 11.205

3.  Sub-microsecond protein folding.

Authors:  Jan Kubelka; Thang K Chiu; David R Davies; William A Eaton; James Hofrichter
Journal:  J Mol Biol       Date:  2006-03-31       Impact factor: 5.469

4.  Heterogeneity even at the speed limit of folding: large-scale molecular dynamics study of a fast-folding variant of the villin headpiece.

Authors:  Daniel L Ensign; Peter M Kasson; Vijay S Pande
Journal:  J Mol Biol       Date:  2007-09-29       Impact factor: 5.469

5.  Using generalized ensemble simulations and Markov state models to identify conformational states.

Authors:  Gregory R Bowman; Xuhui Huang; Vijay S Pande
Journal:  Methods       Date:  2009-05-04       Impact factor: 3.608

6.  Bayesian single-exponential kinetics in single-molecule experiments and simulations.

Authors:  Daniel L Ensign; Vijay S Pande
Journal:  J Phys Chem B       Date:  2009-09-10       Impact factor: 2.991

7.  A test on peptide stability of AMBER force fields with implicit solvation.

Authors:  M Scott Shell; Ryan Ritterson; Ken A Dill
Journal:  J Phys Chem B       Date:  2008-05-10       Impact factor: 2.991

8.  Rapid equilibrium sampling initiated from nonequilibrium data.

Authors:  Xuhui Huang; Gregory R Bowman; Sergio Bacallado; Vijay S Pande
Journal:  Proc Natl Acad Sci U S A       Date:  2009-09-29       Impact factor: 11.205

9.  Progress and challenges in the automated construction of Markov state models for full protein systems.

Authors:  Gregory R Bowman; Kyle A Beauchamp; George Boxer; Vijay S Pande
Journal:  J Chem Phys       Date:  2009-09-28       Impact factor: 3.488

10.  Contact order, transition state placement and the refolding rates of single domain proteins.

Authors:  K W Plaxco; K T Simons; D Baker
Journal:  J Mol Biol       Date:  1998-04-10       Impact factor: 5.469

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  170 in total

1.  The amyloid formation mechanism in human IAPP: dimers have β-strand monomer-monomer interfaces.

Authors:  Nicholas F Dupuis; Chun Wu; Joan-Emma Shea; Michael T Bowers
Journal:  J Am Chem Soc       Date:  2011-04-25       Impact factor: 15.419

2.  The character of molecular modeling.

Authors:  Anthony Nicholls
Journal:  J Comput Aided Mol Des       Date:  2011-12-17       Impact factor: 3.686

3.  Simbios: an NIH national center for physics-based simulation of biological structures.

Authors:  Scott L Delp; Joy P Ku; Vijay S Pande; Michael A Sherman; Russ B Altman
Journal:  J Am Med Inform Assoc       Date:  2011-11-10       Impact factor: 4.497

4.  Characterization and rapid sampling of protein folding Markov state model topologies.

Authors:  Jeffrey K Weber; Vijay S Pande
Journal:  J Chem Theory Comput       Date:  2011-10-11       Impact factor: 6.006

5.  Protein folding is mechanistically robust.

Authors:  Jeffrey K Weber; Vijay S Pande
Journal:  Biophys J       Date:  2012-02-21       Impact factor: 4.033

6.  Smoothing protein energy landscapes by integrating folding models with structure prediction.

Authors:  Ari Pritchard-Bell; M Scott Shell
Journal:  Biophys J       Date:  2011-11-01       Impact factor: 4.033

7.  Extremely slow intramolecular diffusion in unfolded protein L.

Authors:  Steven A Waldauer; Olgica Bakajin; Lisa J Lapidus
Journal:  Proc Natl Acad Sci U S A       Date:  2010-07-19       Impact factor: 11.205

8.  Protein folded states are kinetic hubs.

Authors:  Gregory R Bowman; Vijay S Pande
Journal:  Proc Natl Acad Sci U S A       Date:  2010-06-01       Impact factor: 11.205

Review 9.  Taming the complexity of protein folding.

Authors:  Gregory R Bowman; Vincent A Voelz; Vijay S Pande
Journal:  Curr Opin Struct Biol       Date:  2011-02       Impact factor: 6.809

10.  Atomistic folding simulations of the five-helix bundle protein λ(6−85).

Authors:  Gregory R Bowman; Vincent A Voelz; Vijay S Pande
Journal:  J Am Chem Soc       Date:  2011-02-02       Impact factor: 15.419

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