Literature DB >> 17887792

Parameters of monovalent ions in the AMBER-99 forcefield: assessment of inaccuracies and proposed improvements.

Alan A Chen1, Rohit V Pappu.   

Abstract

The monovalent ion parameters used by the AMBER-99 forcefield are shown to exhibit physically inaccurate behavior in molecular dynamics simulations of strong 1:1 electrolytes. These errors arise from an ad hoc adaptation of Aqvist's cation parameters. The result is the rapid formation of large, unphysical clusters at concentrations that are well below solubility limits. The observed unphysical behavior poses a serious challenge for simulating ions around highly charged polymers such as nucleic acids. In this communication, we explain the source of this unphysical behavior. To facilitate the continued use of the popular AMBER parameters, we prescribe a simple fix whereby Aqvist's cations and anions are used in conjunction with the AMBER forcefield for nucleic acids. A preliminary test of this strategy suggests that the proposed fix is reasonable and is likely to be generalizable for simulating diffuse and specific ion binding to nucleic acids.

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Year:  2007        PMID: 17887792     DOI: 10.1021/jp0765392

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


  38 in total

1.  RNA and its ionic cloud: solution scattering experiments and atomically detailed simulations.

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Journal:  Biophys J       Date:  2012-02-21       Impact factor: 4.033

2.  Multiscale methods for computational RNA enzymology.

Authors:  Maria T Panteva; Thakshila Dissanayake; Haoyuan Chen; Brian K Radak; Erich R Kuechler; George M Giambaşu; Tai-Sung Lee; Darrin M York
Journal:  Methods Enzymol       Date:  2015-01-22       Impact factor: 1.600

3.  Conformational determinants for the recruitment of ERCC1 by XPA in the nucleotide excision repair (NER) Pathway: structure and dynamics of the XPA binding motif.

Authors:  Elisa Fadda
Journal:  Biophys J       Date:  2013-06-04       Impact factor: 4.033

4.  Molecular modeling of nucleic acid structure: electrostatics and solvation.

Authors:  T E Cheatham; B R Brooks; P A Kollman
Journal:  Curr Protoc Nucleic Acid Chem       Date:  2001-08

5.  Understanding ion conductance on a molecular level: an all-atom modeling of the bacterial porin OmpF.

Authors:  Soroosh Pezeshki; Catalin Chimerel; Andrey N Bessonov; Mathias Winterhalter; Ulrich Kleinekathöfer
Journal:  Biophys J       Date:  2009-10-07       Impact factor: 4.033

6.  Fully differentiable coarse-grained and all-atom knowledge-based potentials for RNA structure evaluation.

Authors:  Julie Bernauer; Xuhui Huang; Adelene Y L Sim; Michael Levitt
Journal:  RNA       Date:  2011-04-26       Impact factor: 4.942

Review 7.  Biomolecular electrostatics and solvation: a computational perspective.

Authors:  Pengyu Ren; Jaehun Chun; Dennis G Thomas; Michael J Schnieders; Marcelo Marucho; Jiajing Zhang; Nathan A Baker
Journal:  Q Rev Biophys       Date:  2012-11       Impact factor: 5.318

8.  Automated Optimization of Potential Parameters.

Authors:  Di Pierro Michele; Elber Ron
Journal:  J Chem Theory Comput       Date:  2013-08-13       Impact factor: 6.006

9.  Mechanism of enhanced mechanical stability of a minimal RNA kissing complex elucidated by nonequilibrium molecular dynamics simulations.

Authors:  Alan A Chen; Angel E García
Journal:  Proc Natl Acad Sci U S A       Date:  2012-05-23       Impact factor: 11.205

Review 10.  Advances in the determination of nucleic acid conformational ensembles.

Authors:  Loïc Salmon; Shan Yang; Hashim M Al-Hashimi
Journal:  Annu Rev Phys Chem       Date:  2013-12-16       Impact factor: 12.703

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