Literature DB >> 16155127

Ensemble versus single-molecule protein unfolding.

Ryan Day1, Valerie Daggett.   

Abstract

Molecular dynamics (MD) simulations are the classic single-molecule "experiments," providing atomic-resolution structural and dynamic information. However, the single-molecule nature of the technique has also been its shortcoming, with frequent criticisms of sampling inadequacies and questions regarding the ensemble behavior of large numbers of molecules. Given the increase in computer power, we now address this issue by performing a large number of simulations and comparing individual and ensemble properties. One hundred independent MD simulations of the protein chymotrypsin inhibitor 2 were carried out for 20 ns each at 498 K in water to more fully describe the potentially diverse routes of protein unfolding and investigate how representative a single trajectory can be. Rapid unfolding was observed in all cases with the trajectories distributed about an average "ensemble" path in which secondary and tertiary structure was lost concomitantly, with tertiary structure loss occurring slightly faster. Individual trajectories did, however, sample conformations far from the average path with very heterogeneous time-dependent properties. Nevertheless, all of the simulations but one followed the average ensemble pathway, such that a small number of simulations (5-10) are sufficient to capture the average properties of these states and the unfolding pathway.

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Year:  2005        PMID: 16155127      PMCID: PMC1224615          DOI: 10.1073/pnas.0501773102

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


  22 in total

1.  Protein folding from a highly disordered denatured state: the folding pathway of chymotrypsin inhibitor 2 at atomic resolution.

Authors:  S L Kazmirski; K B Wong; S M Freund; Y J Tan; A R Fersht; V Daggett
Journal:  Proc Natl Acad Sci U S A       Date:  2001-03-27       Impact factor: 11.205

2.  Single-molecule protein folding: diffusion fluorescence resonance energy transfer studies of the denaturation of chymotrypsin inhibitor 2.

Authors:  A A Deniz; T A Laurence; G S Beligere; M Dahan; A B Martin; D S Chemla; P E Dawson; P G Schultz; S Weiss
Journal:  Proc Natl Acad Sci U S A       Date:  2000-05-09       Impact factor: 11.205

Review 3.  Single-molecule folding.

Authors:  Xiaowei Zhuang; Matthias Rief
Journal:  Curr Opin Struct Biol       Date:  2003-02       Impact factor: 6.809

4.  Assessing equilibration and convergence in biomolecular simulations.

Authors:  Lorna J Smith; Xavier Daura; Wilfred F van Gunsteren
Journal:  Proteins       Date:  2002-08-15

Review 5.  Molecular dynamics simulations of the protein unfolding/folding reaction.

Authors:  Valerie Daggett
Journal:  Acc Chem Res       Date:  2002-06       Impact factor: 22.384

6.  Probing the energy landscape of protein folding/unfolding transition states.

Authors:  Deborah De Jong; Robert Riley; Darwin O V Alonso; Valerie Daggett
Journal:  J Mol Biol       Date:  2002-05-24       Impact factor: 5.469

7.  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

8.  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

9.  Structure of the transition state for the folding/unfolding of the barley chymotrypsin inhibitor 2 and its implications for mechanisms of protein folding.

Authors:  D E Otzen; L S Itzhaki; N F elMasry; S E Jackson; A R Fersht
Journal:  Proc Natl Acad Sci U S A       Date:  1994-10-25       Impact factor: 11.205

10.  Refinement of the three-dimensional solution structure of barley serine proteinase inhibitor 2 and comparison with the structures in crystals.

Authors:  S Ludvigsen; H Y Shen; M Kjaer; J C Madsen; F M Poulsen
Journal:  J Mol Biol       Date:  1991-12-05       Impact factor: 5.469

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  27 in total

1.  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

2.  Induced fit or conformational selection for RNA/U1A folding.

Authors:  Fang Qin; Yue Chen; Maoying Wu; Yixue Li; Jian Zhang; Hai-Feng Chen
Journal:  RNA       Date:  2010-03-30       Impact factor: 4.942

Review 3.  Protein folds and protein folding.

Authors:  R Dustin Schaeffer; Valerie Daggett
Journal:  Protein Eng Des Sel       Date:  2010-11-03       Impact factor: 1.650

4.  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

Review 5.  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

6.  Paramagnetic relaxation enhancements in unfolded proteins: theory and application to drkN SH3 domain.

Authors:  Yi Xue; Ivan S Podkorytov; D Krishna Rao; Nathan Benjamin; Honglei Sun; Nikolai R Skrynnikov
Journal:  Protein Sci       Date:  2009-07       Impact factor: 6.725

7.  Dynameomics: large-scale assessment of native protein flexibility.

Authors:  Noah C Benson; Valerie Daggett
Journal:  Protein Sci       Date:  2008-09-16       Impact factor: 6.725

8.  Effects of pseudophosphorylation mutants on the structural dynamics of smooth muscle myosin regulatory light chain.

Authors:  L Michel Espinoza-Fonseca; Brett A Colson; David D Thomas
Journal:  Mol Biosyst       Date:  2014-10

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.  Molecular dynamics simulation of phosphorylated KID post-translational modification.

Authors:  Hai-Feng Chen
Journal:  PLoS One       Date:  2009-08-05       Impact factor: 3.240

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