Literature DB >> 11870864

A critical analysis of continuum electrostatics: the screened Coulomb potential--implicit solvent model and the study of the alanine dipeptide and discrimination of misfolded structures of proteins.

Sergio A Hassan1, Ernest L Mehler.   

Abstract

An analysis of the screened Coulomb potential--implicit solvent model (SCP--ISM) is presented showing that general equations for both the electrostatic and solvation free energy can be derived in a continuum approach, using statistical averaging of the polarization field created by the solvent around the molecule. The derivation clearly shows how the concept of boundary, usually found in macroscopic approaches, is eliminated when the continuum model is obtained from a microscopic treatment using appropriate averaging techniques. The model is used to study the alanine dipeptide in aqueous solution, as well as the discrimination of native protein structures from misfolded conformations. For the alanine dipeptide the free energy surface in the phi--psi space is calculated and compared with recently reported results of a detailed molecular dynamics simulation using an explicit representation of the solvent, and with other available data. The study showed that the results obtained using the SCP--ISM are comparable to those of the explicit water calculation and compares favorably to the FDPB approach. Both transition states and energy minima show a high correlation (r > 0.98) with the results obtained in the explicit water analysis. The study of the misfolded structures of proteins comprised the analysis of three standard decoy sets, namely, the EMBL, Park and Levitt, and Baker's CASP3 sets. In all cases the SCP--ISM discriminated well the native structures of the proteins, and the best-predicted structures were always near-native (cRMSD approximately 2 A). Copyright 2002 Wiley-Liss, Inc.

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Year:  2002        PMID: 11870864     DOI: 10.1002/prot.10059

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


  23 in total

1.  Influence of the solvent structure on the electrostatic interactions in proteins.

Authors:  Alexander Rubinstein; Simon Sherman
Journal:  Biophys J       Date:  2004-09       Impact factor: 4.033

2.  Using DelPhi capabilities to mimic protein's conformational reorganization with amino acid specific dielectric constants.

Authors:  Lin Wang; Zhe Zhang; Walter Rocchia; Emil Alexov
Journal:  Commun Comput Phys       Date:  2013-01       Impact factor: 3.246

3.  Water-exclusion and liquid-structure forces in implicit solvation.

Authors:  Sergio A Hassan; Peter J Steinbach
Journal:  J Phys Chem B       Date:  2011-11-15       Impact factor: 2.991

4.  Liquid-structure forces and electrostatic modulation of biomolecular interactions in solution.

Authors:  Sergio A Hassan
Journal:  J Phys Chem B       Date:  2007-01-11       Impact factor: 2.991

5.  Ab initio computational modeling of long loops in G-protein coupled receptors.

Authors:  Sandhya Kortagere; Amitava Roy; Ernest L Mehler
Journal:  J Comput Aided Mol Des       Date:  2006-09-14       Impact factor: 3.686

6.  Conformational sampling of peptides in cellular environments.

Authors:  Seiichiro Tanizaki; Jacob Clifford; Brian D Connelly; Michael Feig
Journal:  Biophys J       Date:  2007-09-28       Impact factor: 4.033

7.  Optimization of the GB/SA solvation model for predicting the structure of surface loops in proteins.

Authors:  Agnieszka Szarecka; Hagai Meirovitch
Journal:  J Phys Chem B       Date:  2006-02-16       Impact factor: 2.991

8.  Solvent dramatically affects protein structure refinement.

Authors:  Gaurav Chopra; Christopher M Summa; Michael Levitt
Journal:  Proc Natl Acad Sci U S A       Date:  2008-12-10       Impact factor: 11.205

9.  Use of decoys to optimize an all-atom force field including hydration.

Authors:  Yelena A Arnautova; Harold A Scheraga
Journal:  Biophys J       Date:  2008-05-23       Impact factor: 4.033

10.  Solvation effect on conformations of 1,2:dimethoxyethane: charge-dependent nonlinear response in implicit solvent models.

Authors:  Abhishek K Jha; Karl F Freed
Journal:  J Chem Phys       Date:  2008-01-21       Impact factor: 3.488

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