Literature DB >> 11721014

Analysis of multiple folding routes of proteins by a coarse-grained dynamics model.

B Erman1.   

Abstract

Langevin dynamics of a protein molecule with Go-type potentials is developed and used to analyze long time-scale events in the folding of cytochrome c. Several trajectories are generated, starting from random coil configurations and going to the native state, that are a few angstroms root mean square deviation (RMSD) from the native structure. The dynamics is controlled, to a large scale, by the two terminal helices that are in contact in the native state. These two helices form very early during folding, and depending on the trajectory, they either stabilize rapidly or break and re-form in going over steric barriers. The extended initial chain exhibits a rapid folding transition into a relatively compact shape, after which the helices are reorganized in a highly correlated manner. The time of formation of residue pair contacts strongly points to the hierarchical nature of folding; i.e., secondary structure forms first, followed by rearrangements of larger length scales at longer times. The kinetics of formation of native contacts is also analyzed, and the onset of a stable globular configuration, referred to as the molten globule in the literature, is identified. Predictions of the model are compared with extensive experimental data on cytochrome c.

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Year:  2001        PMID: 11721014      PMCID: PMC1301808          DOI: 10.1016/S0006-3495(01)75984-X

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


  33 in total

Review 1.  Go-ing for the prediction of protein folding mechanisms.

Authors:  S Takada
Journal:  Proc Natl Acad Sci U S A       Date:  1999-10-12       Impact factor: 11.205

2.  Folding Lennard-Jones proteins by a contact potential.

Authors:  C Clementi; M Vendruscolo; A Maritan; E Domany
Journal:  Proteins       Date:  1999-12-01

3.  Two-state vs. multistate protein unfolding studied by optical melting and hydrogen exchange.

Authors:  L Mayne; S W Englander
Journal:  Protein Sci       Date:  2000-10       Impact factor: 6.725

Review 4.  Protein folding intermediates and pathways studied by hydrogen exchange.

Authors:  S W Englander
Journal:  Annu Rev Biophys Biomol Struct       Date:  2000

5.  A statistical appraisal of native state hydrogen exchange data: evidence for a burst phase continuum?

Authors:  M J Parker; S Marqusee
Journal:  J Mol Biol       Date:  2000-07-28       Impact factor: 5.469

6.  Two-state expansion and collapse of a polypeptide.

Authors:  S J Hagen; W A Eaton
Journal:  J Mol Biol       Date:  2000-08-25       Impact factor: 5.469

7.  Early steps in cytochrome c folding probed by time-resolved circular dichroism and fluorescence spectroscopy.

Authors:  G A Elöve; A F Chaffotte; H Roder; M E Goldberg
Journal:  Biochemistry       Date:  1992-08-04       Impact factor: 3.162

8.  Structural characterization of folding intermediates in cytochrome c by H-exchange labelling and proton NMR.

Authors:  H Roder; G A Elöve; S W Englander
Journal:  Nature       Date:  1988-10-20       Impact factor: 49.962

Review 9.  Theoretical studies of protein folding.

Authors:  N Go
Journal:  Annu Rev Biophys Bioeng       Date:  1983

10.  Stepwise formation of alpha-helices during cytochrome c folding.

Authors:  S Akiyama; S Takahashi; K Ishimori; I Morishima
Journal:  Nat Struct Biol       Date:  2000-06
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  3 in total

1.  Universality classes in folding times of proteins.

Authors:  Marek Cieplak; Trinh Xuan Hoang
Journal:  Biophys J       Date:  2003-01       Impact factor: 4.033

2.  A funneled energy landscape for cytochrome c directly predicts the sequential folding route inferred from hydrogen exchange experiments.

Authors:  Patrick Weinkam; Chenghang Zong; Peter G Wolynes
Journal:  Proc Natl Acad Sci U S A       Date:  2005-08-22       Impact factor: 11.205

3.  RedMDStream: Parameterization and Simulation Toolbox for Coarse-Grained Molecular Dynamics Models.

Authors:  Filip Leonarski; Joanna Trylska
Journal:  Biophys J       Date:  2015-04-21       Impact factor: 4.033

  3 in total

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