Literature DB >> 16851046

Variational electrostatic projection (VEP) methods for efficient modeling of the macromolecular electrostatic and solvation environment in activated dynamics simulations.

Brent A Gregersen1, Darrin M York.   

Abstract

New methods for the calculation of electrostatic interactions between the active dynamical region and surrounding external solvated macromolecular environment in hybrid quantum mechanical/molecular mechanical (QM/MM) simulations are presented. The variational electrostatic projection (VEP) method, and related variational reverse-mapping procedure (VEP-RVM) utilize an expansion in Gaussian surface elements for representation of electrostatic interactions. The use of a discretized surface that surrounds the active dynamical region greatly reduces the number of interactions with the particles of the external environment. The methods are tested on two catalytic RNA systems: the hammerhead and the hairpin ribozymes. It is shown that with surface elements numbering from 302 to 1202 points the direct VEP and VEP-RVM methods are able to obtain relative force errors in the range of 0.5-0.05% and 0.09-0.0001%, respectively, using a 4.0 A projection buffer. These results are encouraging and provide an essential step in the development of new variational macromolecular solvent-boundary methods for QM/MM calculations of enzyme reactions.

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Year:  2005        PMID: 16851046     DOI: 10.1021/jp0469968

Source DB:  PubMed          Journal:  J Phys Chem B        ISSN: 1520-5207            Impact factor:   2.991


  6 in total

1.  Quantum mechanical/molecular mechanical simulation study of the mechanism of hairpin ribozyme catalysis.

Authors:  Kwangho Nam; Jiali Gao; Darrin M York
Journal:  J Am Chem Soc       Date:  2008-03-18       Impact factor: 15.419

2.  Electrostatic interactions in the hairpin ribozyme account for the majority of the rate acceleration without chemical participation by nucleobases.

Authors:  Kwangho Nam; Jiali Gao; Darrin M York
Journal:  RNA       Date:  2008-06-19       Impact factor: 4.942

Review 3.  Free energies of chemical reactions in solution and in enzymes with ab initio quantum mechanics/molecular mechanics methods.

Authors:  Hao Hu; Weitao Yang
Journal:  Annu Rev Phys Chem       Date:  2008       Impact factor: 12.703

Review 4.  Progress in ab initio QM/MM free-energy simulations of electrostatic energies in proteins: accelerated QM/MM studies of pKa, redox reactions and solvation free energies.

Authors:  Shina C L Kamerlin; Maciej Haranczyk; Arieh Warshel
Journal:  J Phys Chem B       Date:  2009-02-05       Impact factor: 2.991

5.  Extension of adaptive tree code and fast multipole methods to high angular momentum particle charge densities.

Authors:  Timothy J Giese; Darrin M York
Journal:  J Comput Chem       Date:  2008-09       Impact factor: 3.376

6.  Development and application of ab initio QM/MM methods for mechanistic simulation of reactions in solution and in enzymes.

Authors:  Hao Hu; Weitao Yang
Journal:  Theochem       Date:  2009-03-30
  6 in total

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