Literature DB >> 16617068

Kinetic definition of protein folding transition state ensembles and reaction coordinates.

Christopher D Snow1, Young Min Rhee, Vijay S Pande.   

Abstract

Using distributed molecular dynamics simulations we located four distinct folding transitions for a 39-residue betabetaalphabeta protein fold. To characterize the nature of each room temperature transition, we calculated the probability of transmission for 500 points along each free energy barrier. We introduced a method for determining transition states by employing the transmission probability, Ptrans, and determined which conformations were transition state ensemble members (Ptrans approximately 0.5). The transmission probability may be used to characterize the barrier in several ways. For example, we ran simulations at 82 degrees C, determined the change in Ptrans with temperature for all 2,000 conformations, and quantified Hammond behavior directly using Ptrans correlation. Additionally, we propose that diffusion along Ptrans may provide the configurational diffusion rate at the top of the barrier. Specifically, given a transition state conformation x0 with estimated Ptrans=0.5, we selected a large set of subsequent conformations from independent trajectories, each exactly a small time deltat after x0 (250 ps). Calculating Ptrans for the new trial conformations, we generated the P(Ptrans|deltat=250 ps) distribution that reflected diffusion. This approach provides a novel perspective on the diffusive nature of a protein folding transition and provides a framework for a quantitative study of activated relaxation kinetics.

Entities:  

Mesh:

Substances:

Year:  2006        PMID: 16617068      PMCID: PMC1479057          DOI: 10.1529/biophysj.105.075689

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  30 in total

1.  Structure of Met-enkephalin in explicit aqueous solution using replica exchange molecular dynamics.

Authors:  K Y Sanbonmatsu; A E García
Journal:  Proteins       Date:  2002-02-01

2.  Molecular dynamics simulations of protein folding from the transition state.

Authors:  Jörg Gsponer; Amedeo Caflisch
Journal:  Proc Natl Acad Sci U S A       Date:  2002-04-30       Impact factor: 11.205

3.  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

4.  Transition-path sampling of beta-hairpin folding.

Authors:  Peter G Bolhuis
Journal:  Proc Natl Acad Sci U S A       Date:  2003-10-01       Impact factor: 11.205

5.  Direct molecular dynamics observation of protein folding transition state ensemble.

Authors:  Feng Ding; Nikolay V Dokholyan; Sergey V Buldyrev; H Eugene Stanley; Eugene I Shakhnovich
Journal:  Biophys J       Date:  2002-12       Impact factor: 4.033

6.  Increasing temperature accelerates protein unfolding without changing the pathway of unfolding.

Authors:  Ryan Day; Brian J Bennion; Sihyun Ham; Valerie Daggett
Journal:  J Mol Biol       Date:  2002-09-06       Impact factor: 5.469

Review 7.  How well can simulation predict protein folding kinetics and thermodynamics?

Authors:  Christopher D Snow; Eric J Sorin; Young Min Rhee; Vijay S Pande
Journal:  Annu Rev Biophys Biomol Struct       Date:  2005

8.  Reaction coordinates and rates from transition paths.

Authors:  Robert B Best; Gerhard Hummer
Journal:  Proc Natl Acad Sci U S A       Date:  2005-04-06       Impact factor: 11.205

9.  Quantifying kinetic paths of protein folding.

Authors:  Jin Wang; Kun Zhang; Hongyang Lu; Erkang Wang
Journal:  Biophys J       Date:  2005-07-01       Impact factor: 4.033

10.  Dynamics of unfolded polypeptide chains as model for the earliest steps in protein folding.

Authors:  Florian Krieger; Beat Fierz; Oliver Bieri; Mario Drewello; Thomas Kiefhaber
Journal:  J Mol Biol       Date:  2003-09-05       Impact factor: 5.469

View more
  14 in total

1.  A one-dimensional reaction coordinate for identification of transition states from explicit solvent P(fold)-like calculations.

Authors:  David A C Beck; Valerie Daggett
Journal:  Biophys J       Date:  2007-11-15       Impact factor: 4.033

2.  Transition states in protein folding kinetics: modeling phi-values of small beta-sheet proteins.

Authors:  Thomas R Weikl
Journal:  Biophys J       Date:  2007-09-28       Impact factor: 4.033

3.  Reaction coordinate of an enzymatic reaction revealed by transition path sampling.

Authors:  Sara L Quaytman; Steven D Schwartz
Journal:  Proc Natl Acad Sci U S A       Date:  2007-07-17       Impact factor: 11.205

4.  Universality and diversity of folding mechanics for three-helix bundle proteins.

Authors:  Jae Shick Yang; Stefan Wallin; Eugene I Shakhnovich
Journal:  Proc Natl Acad Sci U S A       Date:  2008-01-14       Impact factor: 11.205

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

Authors:  Vincent A Voelz; Gregory R Bowman; Kyle Beauchamp; Vijay S Pande
Journal:  J Am Chem Soc       Date:  2010-02-10       Impact factor: 15.419

Review 6.  The protein folding problem.

Authors:  Ken A Dill; S Banu Ozkan; M Scott Shell; Thomas R Weikl
Journal:  Annu Rev Biophys       Date:  2008       Impact factor: 12.981

7.  Temperature-dependent Hammond behavior in a protein-folding reaction: analysis of transition-state movement and ground-state effects.

Authors:  Humeyra Taskent; Jae-Hyun Cho; Daniel P Raleigh
Journal:  J Mol Biol       Date:  2008-02-20       Impact factor: 5.469

8.  New insights into the folding of a β-sheet miniprotein in a reduced space of collective hydrogen bond variables: application to a hydrodynamic analysis of the folding flow.

Authors:  Igor V Kalgin; Amedeo Caflisch; Sergei F Chekmarev; Martin Karplus
Journal:  J Phys Chem B       Date:  2013-05-15       Impact factor: 2.991

9.  High temperature unfolding simulations of the TRPZ1 peptide.

Authors:  Giovanni Settanni; Alan R Fersht
Journal:  Biophys J       Date:  2008-02-15       Impact factor: 4.033

Review 10.  Insights from coarse-grained Gō models for protein folding and dynamics.

Authors:  Ronald D Hills; Charles L Brooks
Journal:  Int J Mol Sci       Date:  2009-03-02       Impact factor: 6.208

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.