Literature DB >> 12112674

Protein molecular dynamics with electrostatic force entirely determined by a single Poisson-Boltzmann calculation.

Ben Zhuo Lu1, Wei Zu Chen, Cun Xin Wang, Xiao-jie Xu.   

Abstract

The electrostatic force including the intramolecular Coulombic interactions and the electrostatic contribution of solvation effect were entirely calculated by using the finite difference Poisson-Boltzmann method (FDPB), which was incorporated into the GROMOS96 force field to complete a new finite difference stochastic dynamics procedure (FDSD). Simulations were performed on an insulin dimer. Different relative dielectric constants were successively assigned to the protein interior; a value of 17 was selected as optimal for our system. The simulation data were analyzed and compared with those obtained from 500-ps molecular dynamics (MD) simulation with explicit water and a 500-ps conventional stochastic dynamics (SD) simulation without the mean solvent force. The results indicate that the FDSD method with GROMOS96 force field is suitable to study the dynamics and structure of proteins in solution if used with the optimal protein dielectric constant. Copyright 2002 Wiley-Liss, Inc.

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Year:  2002        PMID: 12112674     DOI: 10.1002/prot.10172

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


  9 in total

1.  Protocol for MM/PBSA molecular dynamics simulations of proteins.

Authors:  Federico Fogolari; Alessandro Brigo; Henriette Molinari
Journal:  Biophys J       Date:  2003-07       Impact factor: 4.033

Review 2.  Protein-solvent interactions.

Authors:  Ninad Prabhu; Kim Sharp
Journal:  Chem Rev       Date:  2006-05       Impact factor: 60.622

3.  Controlling the aggregation and rate of release in order to improve insulin formulation: molecular dynamics study of full-length insulin amyloid oligomer models.

Authors:  Workalemahu Mikre Berhanu; Artëm E Masunov
Journal:  J Mol Model       Date:  2011-06-15       Impact factor: 1.810

4.  Fast Analytical Methods for Macroscopic Electrostatic Models in Biomolecular Simulations.

Authors:  Zhenli Xu; Wei Cai
Journal:  SIAM Rev Soc Ind Appl Math       Date:  2011-11-07       Impact factor: 10.780

5.  MIBPB: a software package for electrostatic analysis.

Authors:  Duan Chen; Zhan Chen; Changjun Chen; Weihua Geng; Guo-Wei Wei
Journal:  J Comput Chem       Date:  2010-09-15       Impact factor: 3.376

6.  Multiscale molecular dynamics using the matched interface and boundary method.

Authors:  Weihua Geng; G W Wei
Journal:  J Comput Phys       Date:  2011-01-20       Impact factor: 3.553

7.  Differential geometry based multiscale models.

Authors:  Guo-Wei Wei
Journal:  Bull Math Biol       Date:  2010-02-19       Impact factor: 1.758

8.  Application of MM/PBSA colony free energy to loop decoy discrimination: toward correlation between energy and root mean square deviation.

Authors:  Federico Fogolari; Silvio C E Tosatto
Journal:  Protein Sci       Date:  2005-04       Impact factor: 6.725

9.  Long range Debye-Hückel correction for computation of grid-based electrostatic forces between biomacromolecules.

Authors:  Paolo Mereghetti; Michael Martinez; Rebecca C Wade
Journal:  BMC Biophys       Date:  2014-06-17       Impact factor: 4.778

  9 in total

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