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ForceGen: atomic covalent bond value derivation for Gromacs.
Nash, Anthony; Collier, Thomas; Birch, Helen L; de Leeuw, Nora H.
Afiliação
  • Nash A; Department of Physiology, Genetics, and Anatomy, University of Oxford, Oxford, UK. anthony.nash@dpag.ox.ac.uk.
  • Collier T; Institute of Natural and Mathematical Sciences, Massey University, Palmerston North, New Zealand.
  • Birch HL; Institute of Orthopaedics and Musculoskeletal Science, Stanmore Campus, University College London, London, UK.
  • de Leeuw NH; School of Chemistry, Cardiff University, Cardiff, UK.
J Mol Model ; 24(1): 5, 2017 Dec 06.
Article em En | MEDLINE | ID: mdl-29214361
ABSTRACT
A large number of crystallographic protein structures include ligands, small molecules and post-translational modifications. Atomic bond force values for computational atomistic models of post-translational or non-standard amino acids, metal binding active sites, small molecules and drug molecules are not readily available in most simulation software packages. We present ForceGen, a Java tool that extracts the bond stretch and bond angle force values and equilibrium values from the Hessian of a Gaussian vibrational frequency analysis. The parameters are compatible with force fields derived using the second order tensor of the Hessian. The output is formatted with the Gromacs topology in mind. This study further demonstrates the use of ForceGen over the quantum mechanically derived structures of a small organic solvent, a naturally occurring protein crosslink derived from two amino acids following post-translational modification and the amino acid ligands of a zinc ion. We then derive Laplacian bond orders to understand how the resulting force values relate back to the quantum mechanical model. The parameterisation of the organic solvent, toluene, was verified using Molecular Mechanics simulations. The structural data from the simulation compared well with the quantum mechanical structure and the system density compared well with experimental values.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: J Mol Model Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: J Mol Model Ano de publicação: 2017 Tipo de documento: Article