Literature DB >> 11545596

Protein refolding versus aggregation: computer simulations on an intermediate-resolution protein model.

A V Smith1, C K Hall.   

Abstract

Computer simulations are performed on a system of eight model peptide chains to study how the competition between protein refolding and aggregation affects the optimal conditions for refolding of four-helix bundles. The discontinuous molecular dynamics algorithm is utilized along with an intermediate-resolution protein model that we developed for this work. Physically, the model is much more detailed than any model used to date for simulations of protein aggregation. Each model residue consists of a detailed, three-bead backbone and a simplified, single-bead side-chain. Excluded volume, hydrogen bond, and hydrophobic interactions are modeled with discontinuous (i.e. hard-sphere and square-well) potentials. Simulations efficiently sample conformational space, and complete folding trajectories from random initial configurations to two four-helix bundles are possible within two days on a single processor workstation. Folding of the bundles follows two main pathways, one through a trimeric intermediate and the other through an intermediate with two dimers. The proportion of trajectories that follow each route is significantly different for the eight-peptide system in this work than in a previously studied four-peptide system, which yields one four-helix bundle, suggesting, as our previous simulations have, that protein folding properties are strongly influenced by the presence of other proteins. Folding of the bundles is optimal within a fixed temperature range, with the high-temperature boundary a function of the complexity of the protein (or oligomer) to be folded and the low-temperature boundary a function of the complexity of the protein's environment. Above the optimal temperature range for folding, the model chains tend to unfold; below the optimal range, the model chains tend to aggregate. As has been seen previously, aggregates have substantial levels of native secondary structure, suggesting that aggregates are composed largely of partially folded intermediates, not denatured chains. Copyright 2001 Academic Press.

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Year:  2001        PMID: 11545596     DOI: 10.1006/jmbi.2001.4845

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


  29 in total

1.  Exploring protein aggregation and self-propagation using lattice models: phase diagram and kinetics.

Authors:  R I Dima; D Thirumalai
Journal:  Protein Sci       Date:  2002-05       Impact factor: 6.725

2.  The role of side-chain interactions in the early steps of aggregation: Molecular dynamics simulations of an amyloid-forming peptide from the yeast prion Sup35.

Authors:  Jörg Gsponer; Urs Haberthür; Amedeo Caflisch
Journal:  Proc Natl Acad Sci U S A       Date:  2003-04-16       Impact factor: 11.205

3.  Roles of conformational stability and colloidal stability in the aggregation of recombinant human granulocyte colony-stimulating factor.

Authors:  Eva Y Chi; Sampathkumar Krishnan; Brent S Kendrick; Byeong S Chang; John F Carpenter; Theodore W Randolph
Journal:  Protein Sci       Date:  2003-05       Impact factor: 6.725

4.  Self-assembly of the ionic peptide EAK16: the effect of charge distributions on self-assembly.

Authors:  S Jun; Y Hong; H Imamura; B-Y Ha; J Bechhoefer; P Chen
Journal:  Biophys J       Date:  2004-08       Impact factor: 4.033

5.  Protein thermal aggregation involves distinct regions: sequential events in the heat-induced unfolding and aggregation of hemoglobin.

Authors:  Yong-Bin Yan; Qi Wang; Hua-Wei He; Hai-Meng Zhou
Journal:  Biophys J       Date:  2004-03       Impact factor: 4.033

6.  Molecular dynamics simulation of amyloid beta dimer formation.

Authors:  B Urbanc; L Cruz; F Ding; D Sammond; S Khare; S V Buldyrev; H E Stanley; N V Dokholyan
Journal:  Biophys J       Date:  2004-10       Impact factor: 4.033

7.  Phase diagrams describing fibrillization by polyalanine peptides.

Authors:  Hung D Nguyen; Carol K Hall
Journal:  Biophys J       Date:  2004-10-01       Impact factor: 4.033

8.  In silico study of amyloid beta-protein folding and oligomerization.

Authors:  B Urbanc; L Cruz; S Yun; S V Buldyrev; G Bitan; D B Teplow; H E Stanley
Journal:  Proc Natl Acad Sci U S A       Date:  2004-12-06       Impact factor: 11.205

9.  Folding Trp-cage to NMR resolution native structure using a coarse-grained protein model.

Authors:  Feng Ding; Sergey V Buldyrev; Nikolay V Dokholyan
Journal:  Biophys J       Date:  2004-11-08       Impact factor: 4.033

10.  Protein aggregation determinants from a simplified model: cooperative folders resist aggregation.

Authors:  Louis A Clark
Journal:  Protein Sci       Date:  2005-02-02       Impact factor: 6.725

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