Literature DB >> 18432622

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

Timothy J Giese1, Darrin M York.   

Abstract

The development and implementation of a tree code (TC) and fast multipole method (FMM) for the efficient, linear-scaling calculation of long-range electrostatic interactions of particle distributions with variable shape and multipole character are described. The target application of these methods are stochastic boundary molecular simulations with polarizable force fields and/or combined quantum mechanical/molecular mechanical potentials. Linear-scaling is accomplished through the adaptive decomposition of the system into a hierarchy of interacting particle sets. Two methods for effecting this decomposition are evaluated: fluc-splitting and box-splitting, for which the latter is demonstrated to be generally more accurate. In addition, a generalized termination criterion is developed that delivers optimal performance at fixed error tolerance that, in the case of quadrupole-represented Drude water, effects a speed-up by a factor of 2-3 relative to a multipole-independent termination criteria. The FMM is shown to be approximately 2-3 times faster than the TC, independent of the system size and multipole order of the particles. The TC and FMM are tested for a variety of static and polarizable water systems, and for the the 70S ribosome functional complex containing an assembly of transfer and messenger RNAs. (c) 2008 Wiley Periodicals, Inc.

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Year:  2008        PMID: 18432622      PMCID: PMC2716046          DOI: 10.1002/jcc.20946

Source DB:  PubMed          Journal:  J Comput Chem        ISSN: 0192-8651            Impact factor:   3.376


  22 in total

Review 1.  Polarizable force fields.

Authors:  T A Halgren; W Damm
Journal:  Curr Opin Struct Biol       Date:  2001-04       Impact factor: 6.809

Review 2.  Molecular dynamics simulations of biomolecules: long-range electrostatic effects.

Authors:  C Sagui; T A Darden
Journal:  Annu Rev Biophys Biomol Struct       Date:  1999

3.  A charge-scaling implementation of the variational electrostatic projection method.

Authors:  Brent A Gregersen; Darrin M York
Journal:  J Comput Chem       Date:  2006-01-15       Impact factor: 3.376

Review 4.  Mechanisms and free energies of enzymatic reactions.

Authors:  Jiali Gao; Shuhua Ma; Dan T Major; Kwangho Nam; Jingzhi Pu; Donald G Truhlar
Journal:  Chem Rev       Date:  2006-08       Impact factor: 60.622

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

Authors:  Brent A Gregersen; Darrin M York
Journal:  J Phys Chem B       Date:  2005-01-13       Impact factor: 2.991

6.  Insight into the role of Mg in hammerhead ribozyme catalysis from X-ray crystallography and molecular dynamics simulation.

Authors:  Tai-Sung Lee; Carlos Silva López; Monika Martick; William G Scott; Darrin M York
Journal:  J Chem Theory Comput       Date:  2007-03       Impact factor: 6.006

7.  Fast algorithms for classical physics.

Authors:  L Greengard
Journal:  Science       Date:  1994-08-12       Impact factor: 47.728

Review 8.  Methodological advances in molecular dynamics simulations of biological systems.

Authors:  C L Brooks
Journal:  Curr Opin Struct Biol       Date:  1995-04       Impact factor: 6.809

9.  VMD: visual molecular dynamics.

Authors:  W Humphrey; A Dalke; K Schulten
Journal:  J Mol Graph       Date:  1996-02

10.  X-ray crystal structures of 70S ribosome functional complexes.

Authors:  J H Cate; M M Yusupov; G Z Yusupova; T N Earnest; H F Noller
Journal:  Science       Date:  1999-09-24       Impact factor: 47.728

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  8 in total

Review 1.  Classical electrostatics for biomolecular simulations.

Authors:  G Andrés Cisneros; Mikko Karttunen; Pengyu Ren; Celeste Sagui
Journal:  Chem Rev       Date:  2013-08-27       Impact factor: 60.622

2.  Density-functional expansion methods: generalization of the auxiliary basis.

Authors:  Timothy J Giese; Darrin M York
Journal:  J Chem Phys       Date:  2011-05-21       Impact factor: 3.488

3.  Quantum mechanical force fields for condensed phase molecular simulations.

Authors:  Timothy J Giese; Darrin M York
Journal:  J Phys Condens Matter       Date:  2017-08-17       Impact factor: 2.333

4.  Atomic forces for geometry-dependent point multipole and gaussian multipole models.

Authors:  Dennis M Elking; Lalith Perera; Robert Duke; Thomas Darden; Lee G Pedersen
Journal:  J Comput Chem       Date:  2010-11-30       Impact factor: 3.376

5.  A variational linear-scaling framework to build practical, efficient next-generation orbital-based quantum force fields.

Authors:  Timothy J Giese; Haoyuan Chen; Thakshila Dissanayake; George M Giambaşu; Hugh Heldenbrand; Ming Huang; Erich R Kuechler; Tai-Sung Lee; Maria T Panteva; Brian K Radak; Darrin M York
Journal:  J Chem Theory Comput       Date:  2013-03-12       Impact factor: 6.006

6.  Density-functional expansion methods: Grand challenges.

Authors:  Timothy J Giese; Darrin M York
Journal:  Theor Chem Acc       Date:  2012-02-21       Impact factor: 1.702

7.  Multipolar Ewald methods, 1: theory, accuracy, and performance.

Authors:  Timothy J Giese; Maria T Panteva; Haoyuan Chen; Darrin M York
Journal:  J Chem Theory Comput       Date:  2015-02-10       Impact factor: 6.006

8.  Intermediate electrostatic field for the elongation method.

Authors:  Piotr Kuźniarowicz; Kai Liu; Yuriko Aoki; Feng Long Gu; Anna Stachowicz; Jacek Korchowiec
Journal:  J Mol Model       Date:  2014-05-31       Impact factor: 1.810

  8 in total

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