Literature DB >> 10493884

Is protein unfolding the reverse of protein folding? A lattice simulation analysis.

A R Dinner1, M Karplus.   

Abstract

Simulations and experiments that monitor protein unfolding under denaturing conditions are commonly employed to study the mechanism by which a protein folds to its native state in a physiological environment. Due to the differences in conditions and the complexity of the reaction, unfolding is not necessarily the reverse of folding. To assess the relevance of temperature initiated unfolding studies to the folding problem, we compare the folding and unfolding of a 125-residue protein model by Monte Carlo dynamics at two temperatures; the lower one corresponds to the range used in T -jump experiments and the higher one to the range used in unfolding simulations of all-atom models. The trajectories that lead from the native state to the denatured state at these elevated temperatures are less diverse than those observed in the folding simulations. At the lower temperature, the system unfolds through a mandatory intermediate that corresponds to a local free energy minimum. At the higher temperature, no such intermediate is observed, but a similar pathway is followed. The structures contributing to the unfolding pathways resemble most closely those that make up the "fast track" of folding. The transition state for unfolding at the lower temperature (above Tm) is determined and is found to be more structured than the transition state for folding below the melting temperature. This shift towards the native state is consistent with the Hammond postulate. The implications for unfolding simulations of higher resolution models and for unfolding experiments of proteins are discussed. Copyright 1999 Academic Press.

Mesh:

Year:  1999        PMID: 10493884     DOI: 10.1006/jmbi.1999.3051

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  23 in total

1.  Conformational propagation with prion-like characteristics in a simple model of protein folding.

Authors:  P M Harrison; H S Chan; S B Prusiner; F E Cohen
Journal:  Protein Sci       Date:  2001-04       Impact factor: 6.725

2.  Understanding beta-hairpin formation by molecular dynamics simulations of unfolding.

Authors:  J Lee; S Shin
Journal:  Biophys J       Date:  2001-11       Impact factor: 4.033

3.  The structural basis for biphasic kinetics in the folding of the WW domain from a formin-binding protein: lessons for protein design?

Authors:  John Karanicolas; Charles L Brooks
Journal:  Proc Natl Acad Sci U S A       Date:  2003-03-24       Impact factor: 11.205

4.  Probing the folding free energy landscape of the Src-SH3 protein domain.

Authors:  Joan-Emma Shea; Jose N Onuchic; Charles L Brooks
Journal:  Proc Natl Acad Sci U S A       Date:  2002-11-22       Impact factor: 11.205

5.  Posttransition state desolvation of the hydrophobic core of the src-SH3 protein domain.

Authors:  Weihua Guo; Sotiria Lampoudi; Joan-Emma Shea
Journal:  Biophys J       Date:  2003-07       Impact factor: 4.033

6.  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

7.  Formation of the folding nucleus of an SH3 domain investigated by loosely coupled molecular dynamics simulations.

Authors:  G Settanni; J Gsponer; A Caflisch
Journal:  Biophys J       Date:  2004-03       Impact factor: 4.033

8.  Protein-folding landscapes in multichain systems.

Authors:  Troy Cellmer; Dusan Bratko; John M Prausnitz; Harvey Blanch
Journal:  Proc Natl Acad Sci U S A       Date:  2005-08-04       Impact factor: 11.205

9.  Impact of the mutation A21G (Flemish variant) on Alzheimer's beta-amyloid dimers by molecular dynamics simulations.

Authors:  Alexis Huet; Philippe Derreumaux
Journal:  Biophys J       Date:  2006-08-04       Impact factor: 4.033

Review 10.  Protein folding thermodynamics and dynamics: where physics, chemistry, and biology meet.

Authors:  Eugene Shakhnovich
Journal:  Chem Rev       Date:  2006-05       Impact factor: 60.622

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