Literature DB >> 21915750

Charge density distributions derived from smoothed electrostatic potential functions: design of protein reduced point charge models.

Laurence Leherte1, Daniel P Vercauteren.   

Abstract

To generate reduced point charge models of proteins, we developed an original approach to hierarchically locate extrema in charge density distribution functions built from the Poisson equation applied to smoothed molecular electrostatic potential (MEP) functions. A charge fitting program was used to assign charge values to the so-obtained reduced representations. In continuation to a previous work, the Amber99 force field was selected. To easily generate reduced point charge models for protein structures, a library of amino acid templates was designed. Applications to four small peptides, a set of 53 protein structures, and four KcsA ion channel models, are presented. Electrostatic potential and solvation free energy values generated by the reduced models are compared with the corresponding values obtained using the original set of atomic charges. Results are in closer agreement with the original all-atom electrostatic properties than those obtained with a previous reduced model that was directly built from the smoothed MEP functions [Leherte and Vercauteren in J Chem Theory Comput 5:3279-3298, 2009].

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Year:  2011        PMID: 21915750     DOI: 10.1007/s10822-011-9471-8

Source DB:  PubMed          Journal:  J Comput Aided Mol Des        ISSN: 0920-654X            Impact factor:   3.686


  52 in total

1.  The Protein Data Bank.

Authors:  H M Berman; J Westbrook; Z Feng; G Gilliland; T N Bhat; H Weissig; I N Shindyalov; P E Bourne
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

2.  Electrostatics of nanosystems: application to microtubules and the ribosome.

Authors:  N A Baker; D Sept; S Joseph; M J Holst; J A McCammon
Journal:  Proc Natl Acad Sci U S A       Date:  2001-08-21       Impact factor: 11.205

3.  Polarizable Force Fields:  History, Test Cases, and Prospects.

Authors:  Arieh Warshel; Mitsunori Kato; Andrei V Pisliakov
Journal:  J Chem Theory Comput       Date:  2007-11       Impact factor: 6.006

4.  A Self-Consistent Space-Domain Decomposition Method for QM/MM Computations of Protein Electrostatic Potentials.

Authors:  Jose A Gascon; Siegfried S F Leung; Enrique R Batista; Victor S Batista
Journal:  J Chem Theory Comput       Date:  2006-01       Impact factor: 6.006

5.  Protein stability and surface electrostatics: a charged relationship.

Authors:  Samantha S Strickler; Alexey V Gribenko; Alexander V Gribenko; Timothy R Keiffer; Jessica Tomlinson; Tracey Reihle; Vakhtang V Loladze; George I Makhatadze
Journal:  Biochemistry       Date:  2006-03-07       Impact factor: 3.162

Review 6.  Multiscale modeling of biomolecular systems: in serial and in parallel.

Authors:  Gary S Ayton; Will G Noid; Gregory A Voth
Journal:  Curr Opin Struct Biol       Date:  2007-03-23       Impact factor: 6.809

Review 7.  Progress in computational protein design.

Authors:  Shaun M Lippow; Bruce Tidor
Journal:  Curr Opin Biotechnol       Date:  2007-07-20       Impact factor: 9.740

8.  Nonnative electrostatic interactions can modulate protein folding: molecular dynamics with a grain of salt.

Authors:  Ariel Azia; Yaakov Levy
Journal:  J Mol Biol       Date:  2009-08-13       Impact factor: 5.469

9.  Coarse-grained model of nucleic acid bases.

Authors:  Maciej Maciejczyk; Aleksandar Spasic; Adam Liwo; Harold A Scheraga
Journal:  J Comput Chem       Date:  2010-06       Impact factor: 3.376

10.  Protein Backbone Dynamics Simulations Using Coarse-Grained Bonded Potentials and Simplified Hydrogen Bonds.

Authors:  Tap Ha-Duong
Journal:  J Chem Theory Comput       Date:  2010-03-09       Impact factor: 6.006

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