Literature DB >> 24000174

Rapid parameterization of small molecules using the Force Field Toolkit.

Christopher G Mayne1, Jan Saam, Klaus Schulten, Emad Tajkhorshid, James C Gumbart.   

Abstract

The inability to rapidly generate accurate and robust parameters for novel chemical matter continues to severely limit the application of molecular dynamics simulations to many biological systems of interest, especially in fields such as drug discovery. Although the release of generalized versions of common classical force fields, for example, General Amber Force Field and CHARMM General Force Field, have posited guidelines for parameterization of small molecules, many technical challenges remain that have hampered their wide-scale extension. The Force Field Toolkit (ffTK), described herein, minimizes common barriers to ligand parameterization through algorithm and method development, automation of tedious and error-prone tasks, and graphical user interface design. Distributed as a VMD plugin, ffTK facilitates the traversal of a clear and organized workflow resulting in a complete set of CHARMM-compatible parameters. A variety of tools are provided to generate quantum mechanical target data, setup multidimensional optimization routines, and analyze parameter performance. Parameters developed for a small test set of molecules using ffTK were comparable to existing CGenFF parameters in their ability to reproduce experimentally measured values for pure-solvent properties (<15% error from experiment) and free energy of solvation (±0.5 kcal/mol from experiment).
Copyright © 2013 Wiley Periodicals, Inc.

Entities:  

Keywords:  forcefields • parameterization • CHARMM • CGenFF

Mesh:

Substances:

Year:  2013        PMID: 24000174      PMCID: PMC3874408          DOI: 10.1002/jcc.23422

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


  28 in total

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Authors:  Junmei Wang; Romain M Wolf; James W Caldwell; Peter A Kollman; David A Case
Journal:  J Comput Chem       Date:  2004-07-15       Impact factor: 3.376

2.  CHARMM fluctuating charge force field for proteins: II protein/solvent properties from molecular dynamics simulations using a nonadditive electrostatic model.

Authors:  Sandeep Patel; Alexander D Mackerell; Charles L Brooks
Journal:  J Comput Chem       Date:  2004-09       Impact factor: 3.376

3.  PRODRG: a tool for high-throughput crystallography of protein-ligand complexes.

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Authors:  Junmei Wang; Wei Wang; Peter A Kollman; David A Case
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Review 5.  Comparison of protein force fields for molecular dynamics simulations.

Authors:  Olgun Guvench; Alexander D MacKerell
Journal:  Methods Mol Biol       Date:  2008

6.  Automation of the CHARMM General Force Field (CGenFF) II: assignment of bonded parameters and partial atomic charges.

Authors:  K Vanommeslaeghe; E Prabhu Raman; A D MacKerell
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7.  Accurate Calculation of Hydration Free Energies using Pair-Specific Lennard-Jones Parameters in the CHARMM Drude Polarizable Force Field.

Authors:  Christopher M Baker; Pedro E M Lopes; Xiao Zhu; Benoît Roux; Alexander D Mackerell
Journal:  J Chem Theory Comput       Date:  2010-03-01       Impact factor: 6.006

8.  CHARMM general force field: A force field for drug-like molecules compatible with the CHARMM all-atom additive biological force fields.

Authors:  K Vanommeslaeghe; E Hatcher; C Acharya; S Kundu; S Zhong; J Shim; E Darian; O Guvench; P Lopes; I Vorobyov; A D Mackerell
Journal:  J Comput Chem       Date:  2010-03       Impact factor: 3.376

9.  CHARMM fluctuating charge force field for proteins: I parameterization and application to bulk organic liquid simulations.

Authors:  Sandeep Patel; Charles L Brooks
Journal:  J Comput Chem       Date:  2004-01-15       Impact factor: 3.376

10.  The future of molecular dynamics simulations in drug discovery.

Authors:  David W Borhani; David E Shaw
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Authors:  J V Vermaas; N Trebesch; C G Mayne; S Thangapandian; M Shekhar; P Mahinthichaichan; J L Baylon; T Jiang; Y Wang; M P Muller; E Shinn; Z Zhao; P-C Wen; E Tajkhorshid
Journal:  Methods Enzymol       Date:  2016-07-11       Impact factor: 1.600

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Journal:  J Comput Chem       Date:  2015-03-31       Impact factor: 3.376

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9.  Parametrization of macrolide antibiotics using the force field toolkit.

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Journal:  J Comput Chem       Date:  2015-08-17       Impact factor: 3.376

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