Literature DB >> 17978165

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

David A C Beck1, Valerie Daggett.   

Abstract

A properly identified transition state ensemble (TSE) in a molecular dynamics (MD) simulation can reveal a tremendous amount about how a protein folds and offer a point of comparison to experimentally derived Phi(F) values, which reflect the degree of structure in these transient states. In one such method of TSE identification, dubbed P(fold), MD simulations of individual protein structures taken from an unfolding trajectory are used to directly assess an input structure's probability of folding before unfolding, and P(fold) is, by definition, 0.5 for the TSE. Other, less computationally intensive methods, such as multidimensional scaling (MDS) of the pairwise root mean-squared deviation (RMSD) matrix of the conformations sampled in a thermal unfolding trajectory, have also been used to identify the TSE. Identification of the TSE is made from the original MD simulation without the need to run further simulations. Here we present a P(fold)-like study and describe methods for identification of the TSE through the derivation of a high fidelity, bounded, one-dimensional reaction coordinate for protein folding. These methods are applied to the engrailed homeodomain. The TSE identified by this approach is essentially identical to the TSE identified previously by MDS of the pairwise RMSD matrix. However, the cost of performing P(fold), or even our reduced P(fold)-like calculations, is at least 36,000 times greater than the MDS method.

Entities:  

Mesh:

Substances:

Year:  2007        PMID: 17978165      PMCID: PMC2072083          DOI: 10.1529/biophysj.106.100149

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


  43 in total

1.  Specific DNA recognition by the Antp homeodomain: MD simulations of specific and nonspecific complexes.

Authors:  Aleksandras Gutmanas; Martin Billeter
Journal:  Proteins       Date:  2004-12-01

2.  Solution structure of a protein denatured state and folding intermediate.

Authors:  T L Religa; J S Markson; U Mayor; S M V Freund; A R Fersht
Journal:  Nature       Date:  2005-10-13       Impact factor: 49.962

3.  Sensitivity of the folding/unfolding transition state ensemble of chymotrypsin inhibitor 2 to changes in temperature and solvent.

Authors:  Ryan Day; Valerie Daggett
Journal:  Protein Sci       Date:  2005-05       Impact factor: 6.725

4.  Low-dimensional, free-energy landscapes of protein-folding reactions by nonlinear dimensionality reduction.

Authors:  Payel Das; Mark Moll; Hernán Stamati; Lydia E Kavraki; Cecilia Clementi
Journal:  Proc Natl Acad Sci U S A       Date:  2006-06-19       Impact factor: 11.205

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

Authors:  Christopher D Snow; Young Min Rhee; Vijay S Pande
Journal:  Biophys J       Date:  2006-04-14       Impact factor: 4.033

6.  Direct observation of microscopic reversibility in single-molecule protein folding.

Authors:  Ryan Day; Valerie Daggett
Journal:  J Mol Biol       Date:  2006-11-15       Impact factor: 5.469

7.  Simulation and experiment conspire to reveal cryptic intermediates and a slide from the nucleation-condensation to framework mechanism of folding.

Authors:  George W N White; Stefano Gianni; J Gunter Grossmann; Per Jemth; Alan R Fersht; Valerie Daggett
Journal:  J Mol Biol       Date:  2005-07-22       Impact factor: 5.469

8.  Dynameomics: mass annotation of protein dynamics and unfolding in water by high-throughput atomistic molecular dynamics simulations.

Authors:  David A C Beck; Amanda L Jonsson; R Dustin Schaeffer; Kathryn A Scott; Ryan Day; Rudesh D Toofanny; Darwin O V Alonso; Valerie Daggett
Journal:  Protein Eng Des Sel       Date:  2008-04-14       Impact factor: 1.650

9.  Synergy between simulation and experiment in describing the energy landscape of protein folding.

Authors:  A G Ladurner; L S Itzhaki; V Daggett; A R Fersht
Journal:  Proc Natl Acad Sci U S A       Date:  1998-07-21       Impact factor: 11.205

10.  Engrailed homeodomain-DNA complex at 2.2 A resolution: a detailed view of the interface and comparison with other engrailed structures.

Authors:  E Fraenkel; M A Rould; K A Chambers; C O Pabo
Journal:  J Mol Biol       Date:  1998-11-27       Impact factor: 5.469

View more
  11 in total

1.  Refolding the engrailed homeodomain: structural basis for the accumulation of a folding intermediate.

Authors:  Michelle E McCully; David A C Beck; Alan R Fersht; Valerie Daggett
Journal:  Biophys J       Date:  2010-09-08       Impact factor: 4.033

2.  The folding transition-state ensemble of a four-helix bundle protein: helix propensity as a determinant and macromolecular crowding as a probe.

Authors:  Harianto Tjong; Huan-Xiang Zhou
Journal:  Biophys J       Date:  2010-05-19       Impact factor: 4.033

3.  A comprehensive multidimensional-embedded, one-dimensional reaction coordinate for protein unfolding/folding.

Authors:  Rudesh D Toofanny; Amanda L Jonsson; Valerie Daggett
Journal:  Biophys J       Date:  2010-06-02       Impact factor: 4.033

Review 4.  Combining experiment and simulation in protein folding: closing the gap for small model systems.

Authors:  R Dustin Schaeffer; Alan Fersht; Valerie Daggett
Journal:  Curr Opin Struct Biol       Date:  2008-02-01       Impact factor: 6.809

5.  Microscopic reversibility of protein folding in molecular dynamics simulations of the engrailed homeodomain.

Authors:  Michelle E McCully; David A C Beck; Valerie Daggett
Journal:  Biochemistry       Date:  2008-06-14       Impact factor: 3.162

6.  Multimolecule test-tube simulations of protein unfolding and aggregation.

Authors:  Michelle E McCully; David A C Beck; Valerie Daggett
Journal:  Proc Natl Acad Sci U S A       Date:  2012-10-22       Impact factor: 11.205

7.  Dynameomics: a comprehensive database of protein dynamics.

Authors:  Marc W van der Kamp; R Dustin Schaeffer; Amanda L Jonsson; Alexander D Scouras; Andrew M Simms; Rudesh D Toofanny; Noah C Benson; Peter C Anderson; Eric D Merkley; Steven Rysavy; Dennis Bromley; David A C Beck; Valerie Daggett
Journal:  Structure       Date:  2010-03-14       Impact factor: 5.006

8.  Insights from molecular dynamics simulations for computational protein design.

Authors:  Matthew Carter Childers; Valerie Daggett
Journal:  Mol Syst Des Eng       Date:  2017-01-09

9.  Unfolding simulations reveal the mechanism of extreme unfolding cooperativity in the kinetically stable alpha-lytic protease.

Authors:  Neema L Salimi; Bosco Ho; David A Agard
Journal:  PLoS Comput Biol       Date:  2010-02-26       Impact factor: 4.475

10.  Extracting Kinetic and Stationary Distribution Information from Short MD Trajectories via a Collection of Surrogate Diffusion Models.

Authors:  Christopher P Calderon; Karunesh Arora
Journal:  J Chem Theory Comput       Date:  2009-01-01       Impact factor: 6.006

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.