Literature DB >> 12602955

Parametrization of a force field for metals complexed to biomacromolecules: applications to Fe(II), Cu(II) and Pb(II).

Laurent David1, Patricia Amara, Martin J Field, François Major.   

Abstract

Although techniques for the simulation of biomolecules, such as proteins and RNAs, have greatly advanced in the last decade, modeling complexes of biomolecules with metal ions remains problematic. Precise calculations can be done with quantum mechanical methods but these are prohibitive for systems the size of macromolecules. More qualitative modeling can be done with molecular mechanical potentials but the parametrization of force fields for metals is often difficult, particularly if the bonding between the metal and the groups in its coordination shell has significant covalent character. In this paper we present a method for deriving bond and bond-angle parameters for metal complexes from experimental bond and bond-angle distributions obtained from the Cambridge Structural Database. In conjunction with this method, we also introduce a non-standard energy term of gaussian form that allows us to obtain a stable description of the coordination about a metal center during a simulation. The method was evaluated on Fe(II)-porphyrin complexes, on simple Cu(II) ion complexes and a number of complexes of the Pb(II) ion.

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Year:  2002        PMID: 12602955     DOI: 10.1023/a:1021962616650

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


  4 in total

1.  NMR solution structure of the lead-dependent ribozyme: evidence for dynamics in RNA catalysis.

Authors:  C G Hoogstraten; P Legault; A Pardi
Journal:  J Mol Biol       Date:  1998-11-27       Impact factor: 5.469

2.  The Protein Data Bank: a computer-based archival file for macromolecular structures.

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Journal:  J Mol Biol       Date:  1977-05-25       Impact factor: 5.469

3.  Helmholtz free energies of atom pair interactions in proteins.

Authors:  M J Sippl; M Ortner; M Jaritz; P Lackner; H Flöckner
Journal:  Fold Des       Date:  1996

4.  All-atom empirical potential for molecular modeling and dynamics studies of proteins.

Authors:  A D MacKerell; D Bashford; M Bellott; R L Dunbrack; J D Evanseck; M J Field; S Fischer; J Gao; H Guo; S Ha; D Joseph-McCarthy; L Kuchnir; K Kuczera; F T Lau; C Mattos; S Michnick; T Ngo; D T Nguyen; B Prodhom; W E Reiher; B Roux; M Schlenkrich; J C Smith; R Stote; J Straub; M Watanabe; J Wiórkiewicz-Kuczera; D Yin; M Karplus
Journal:  J Phys Chem B       Date:  1998-04-30       Impact factor: 2.991

  4 in total
  1 in total

1.  CSAR benchmark exercise of 2010: combined evaluation across all submitted scoring functions.

Authors:  Richard D Smith; James B Dunbar; Peter Man-Un Ung; Emilio X Esposito; Chao-Yie Yang; Shaomeng Wang; Heather A Carlson
Journal:  J Chem Inf Model       Date:  2011-08-29       Impact factor: 4.956

  1 in total

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