Literature DB >> 9539729

Brownian dynamics simulations of protein folding: access to milliseconds time scale and beyond.

A Rojnuckarin1, S Kim, S Subramaniam.   

Abstract

Protein folding occurs on a time scale ranging from milliseconds to minutes for a majority of proteins. Computer simulation of protein folding, from a random configuration to the native structure, is nontrivial owing to the large disparity between the simulation and folding time scales. As an effort to overcome this limitation, simple models with idealized protein subdomains, e.g., the diffusion-collision model of Karplus and Weaver, have gained some popularity. We present here new results for the folding of a four-helix bundle within the framework of the diffusion-collision model. Even with such simplifying assumptions, a direct application of standard Brownian dynamics methods would consume 10,000 processor-years on current supercomputers. We circumvent this difficulty by invoking a special Brownian dynamics simulation. The method features the calculation of the mean passage time of an event from the flux overpopulation method and the sampling of events that lead to productive collisions even if their probability is extremely small (because of large free-energy barriers that separate them from the higher probability events). Using these developments, we demonstrate that a coarse-grained model of the four-helix bundle can be simulated in several days on current supercomputers. Furthermore, such simulations yield folding times that are in the range of time scales observed in experiments.

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Year:  1998        PMID: 9539729      PMCID: PMC22481          DOI: 10.1073/pnas.95.8.4288

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  22 in total

1.  Folding kinetics of designer proteins. Application of the diffusion-collision model to a de novo designed four-helix bundle.

Authors:  K K Yapa; D L Weaver
Journal:  Biophys J       Date:  1992-07       Impact factor: 4.033

2.  Direct observation of fast protein folding: the initial collapse of apomyoglobin.

Authors:  R M Ballew; J Sabelko; M Gruebele
Journal:  Proc Natl Acad Sci U S A       Date:  1996-06-11       Impact factor: 11.205

3.  Funnels, pathways, and the energy landscape of protein folding: a synthesis.

Authors:  J D Bryngelson; J N Onuchic; N D Socci; P G Wolynes
Journal:  Proteins       Date:  1995-03

Review 4.  Pathways of protein folding.

Authors:  C R Matthews
Journal:  Annu Rev Biochem       Date:  1993       Impact factor: 23.643

5.  Electrostatic and hydrodynamic orientational steering effects in enzyme-substrate association.

Authors:  J Antosiewicz; J A McCammon
Journal:  Biophys J       Date:  1995-07       Impact factor: 4.033

6.  Hydrodynamic steering effects in protein association.

Authors:  D Brune; S Kim
Journal:  Proc Natl Acad Sci U S A       Date:  1994-04-12       Impact factor: 11.205

Review 7.  Protein folding dynamics: the diffusion-collision model and experimental data.

Authors:  M Karplus; D L Weaver
Journal:  Protein Sci       Date:  1994-04       Impact factor: 6.725

8.  Fast and one-step folding of closely and distantly related homologous proteins of a four-helix bundle family.

Authors:  B B Kragelund; P Højrup; M S Jensen; C K Schjerling; E Juul; J Knudsen; F M Poulsen
Journal:  J Mol Biol       Date:  1996-02-16       Impact factor: 5.469

9.  Folding of peptide fragments comprising the complete sequence of proteins. Models for initiation of protein folding. I. Myohemerythrin.

Authors:  H J Dyson; G Merutka; J P Waltho; R A Lerner; P E Wright
Journal:  J Mol Biol       Date:  1992-08-05       Impact factor: 5.469

10.  Peptide models of protein folding initiation sites. 1. Secondary structure formation by peptides corresponding to the G- and H-helices of myoglobin.

Authors:  J P Waltho; V A Feher; G Merutka; H J Dyson; P E Wright
Journal:  Biochemistry       Date:  1993-06-29       Impact factor: 3.162

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  14 in total

1.  Bimolecular reaction simulation using Weighted Ensemble Brownian dynamics and the University of Houston Brownian Dynamics program.

Authors:  A Rojnuckarin; D R Livesay; S Subramaniam
Journal:  Biophys J       Date:  2000-08       Impact factor: 4.033

2.  Diffusion-collision model study of misfolding in a four-helix bundle protein.

Authors:  C Beck; X Siemens; D L Weaver
Journal:  Biophys J       Date:  2001-12       Impact factor: 4.033

3.  Efficient and verified simulation of a path ensemble for conformational change in a united-residue model of calmodulin.

Authors:  Bin W Zhang; David Jasnow; Daniel M Zuckerman
Journal:  Proc Natl Acad Sci U S A       Date:  2007-11-01       Impact factor: 11.205

4.  The "weighted ensemble" path sampling method is statistically exact for a broad class of stochastic processes and binning procedures.

Authors:  Bin W Zhang; David Jasnow; Daniel M Zuckerman
Journal:  J Chem Phys       Date:  2010-02-07       Impact factor: 3.488

5.  Atomic interaction networks in the core of protein domains and their native folds.

Authors:  Venkataramanan Soundararajan; Rahul Raman; S Raguram; V Sasisekharan; Ram Sasisekharan
Journal:  PLoS One       Date:  2010-02-23       Impact factor: 3.240

6.  Simulating rare events using a weighted ensemble-based string method.

Authors:  Joshua L Adelman; Michael Grabe
Journal:  J Chem Phys       Date:  2013-01-28       Impact factor: 3.488

Review 7.  Principles and Overview of Sampling Methods for Modeling Macromolecular Structure and Dynamics.

Authors:  Tatiana Maximova; Ryan Moffatt; Buyong Ma; Ruth Nussinov; Amarda Shehu
Journal:  PLoS Comput Biol       Date:  2016-04-28       Impact factor: 4.475

8.  WESTPA: an interoperable, highly scalable software package for weighted ensemble simulation and analysis.

Authors:  Matthew C Zwier; Joshua L Adelman; Joseph W Kaus; Adam J Pratt; Kim F Wong; Nicholas B Rego; Ernesto Suárez; Steven Lettieri; David W Wang; Michael Grabe; Daniel M Zuckerman; Lillian T Chong
Journal:  J Chem Theory Comput       Date:  2015-02-10       Impact factor: 6.006

9.  Heterogeneous path ensembles for conformational transitions in semi-atomistic models of adenylate kinase.

Authors:  Divesh Bhatt; Daniel M Zuckerman
Journal:  J Chem Theory Comput       Date:  2010-10-09       Impact factor: 6.006

10.  Modulation of p53 binding to MDM2: computational studies reveal important roles of Tyr100.

Authors:  Shubhra Ghosh Dastidar; David P Lane; Chandra S Verma
Journal:  BMC Bioinformatics       Date:  2009-12-03       Impact factor: 3.169

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