Literature DB >> 11746700

Evaluation of a fast implicit solvent model for molecular dynamics simulations.

Philippe Ferrara1, Joannis Apostolakis, Amedeo Caflisch.   

Abstract

A solvation term based on the solvent accessible surface area (SASA) is combined with the CHARMM polar hydrogen force field for the efficient simulation of peptides and small proteins in aqueous solution. Only two atomic solvation parameters are used: one is negative for favoring the direct solvation of polar groups and the other positive for taking into account the hydrophobic effect on apolar groups. To approximate the water screening effects on the intrasolute electrostatic interactions, a distance-dependent dielectric function is used and ionic side chains are neutralized. The use of an analytical approximation of the SASA renders the model extremely efficient (i.e., only about 50% slower than in vacuo simulations). The limitations and range of applicability of the SASA model are assessed by simulations of proteins and structured peptides. For the latter, the present study and results reported elsewhere show that with the SASA model it is possible to sample a significant amount of folding/unfolding transitions, which permit the study of the thermodynamics and kinetics of folding at an atomic level of detail. Copyright 2001 Wiley-Liss, Inc.

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Year:  2002        PMID: 11746700     DOI: 10.1002/prot.10001

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  78 in total

1.  Molecular dynamics simulations of protein folding from the transition state.

Authors:  Jörg Gsponer; Amedeo Caflisch
Journal:  Proc Natl Acad Sci U S A       Date:  2002-04-30       Impact factor: 11.205

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.  Configurational temperature density of states simulations of proteins.

Authors:  Nitin Rathore; Thomas A Knotts; Juan J de Pablo
Journal:  Biophys J       Date:  2003-12       Impact factor: 4.033

4.  Fast protein folding on downhill energy landscape.

Authors:  Andrea Cavalli; Urs Haberthür; Emanuele Paci; Amedeo Caflisch
Journal:  Protein Sci       Date:  2003-08       Impact factor: 6.725

5.  Analysis of the distributed computing approach applied to the folding of a small beta peptide.

Authors:  Emanuele Paci; Andrea Cavalli; Michele Vendruscolo; Amedeo Caflisch
Journal:  Proc Natl Acad Sci U S A       Date:  2003-06-18       Impact factor: 11.205

6.  The role of aromaticity, exposed surface, and dipole moment in determining protein aggregation rates.

Authors:  Gian Gaetano Tartaglia; Andrea Cavalli; Riccardo Pellarin; Amedeo Caflisch
Journal:  Protein Sci       Date:  2004-05-28       Impact factor: 6.725

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.  Mapping conformational ensembles of aβ oligomers in molecular dynamics simulations.

Authors:  Seongwon Kim; Takako Takeda; Dmitri K Klimov
Journal:  Biophys J       Date:  2010-09-22       Impact factor: 4.033

9.  Protein dynamics investigated by inherent structure analysis.

Authors:  Francesco Rao; Martin Karplus
Journal:  Proc Natl Acad Sci U S A       Date:  2010-04-30       Impact factor: 11.205

10.  Globular state in the oligomers formed by Abeta peptides.

Authors:  Seongwon Kim; Takako Takeda; Dmitri K Klimov
Journal:  J Chem Phys       Date:  2010-06-14       Impact factor: 3.488

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