Literature DB >> 23292859

Assessing the quality of absolute hydration free energies among CHARMM-compatible ligand parameterization schemes.

Jennifer L Knight1, Joseph D Yesselman1, Charles L Brooks1.   

Abstract

Multipurpose atom-typer for CHARMM (MATCH), an atom-typing toolset for molecular mechanics force fields, was recently developed in our laboratory. Here, we assess the ability of MATCH-generated parameters and partial atomic charges to reproduce experimental absolute hydration free energies for a series of 457 small neutral molecules in GBMV2, Generalized Born with a smooth SWitching (GBSW), and fast analytical continuum treatment of solvation (FACTS) implicit solvent models. The quality of hydration free energies associated with small molecule parameters obtained from ParamChem, SwissParam, and Antechamber are compared. Given optimized surface tension coefficients for scaling the surface area term in the nonpolar contribution, these automated parameterization schemes with GBMV2 and GBSW demonstrate reasonable agreement with experimental hydration free energies (average unsigned errors of 0.9-1.5 kcal/mol and R(2) of 0.63-0.87). GBMV2 and GBSW consistently provide slightly more accurate estimates than FACTS, whereas Antechamber parameters yield marginally more accurate estimates than the current generation of MATCH, ParamChem, and SwissParam parameterization strategies. Modeling with MATCH libraries that are derived from different CHARMM topology and parameter files highlights the importance of having sufficient coverage of chemical space within the underlying databases of these automated schemes and the benefit of targeting specific functional groups for parameterization efforts to maximize both the breadth and the depth of the parameterized space.
Copyright © 2013 Wiley Periodicals, Inc.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 23292859      PMCID: PMC4402937          DOI: 10.1002/jcc.23199

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


  21 in total

1.  Fast, efficient generation of high-quality atomic charges. AM1-BCC model: II. Parameterization and validation.

Authors:  Araz Jakalian; David B Jack; Christopher I Bayly
Journal:  J Comput Chem       Date:  2002-12       Impact factor: 3.376

2.  Development and testing of a general amber force field.

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

3.  Computations of Absolute Solvation Free Energies of Small Molecules Using Explicit and Implicit Solvent Model.

Authors:  Devleena Shivakumar; Yuqing Deng; Benoît Roux
Journal:  J Chem Theory Comput       Date:  2009-03-24       Impact factor: 6.006

4.  Prediction of Absolute Solvation Free Energies using Molecular Dynamics Free Energy Perturbation and the OPLS Force Field.

Authors:  Devleena Shivakumar; Joshua Williams; Yujie Wu; Wolfgang Damm; John Shelley; Woody Sherman
Journal:  J Chem Theory Comput       Date:  2010-04-14       Impact factor: 6.006

5.  Treating entropy and conformational changes in implicit solvent simulations of small molecules.

Authors:  David L Mobley; Ken A Dill; John D Chodera
Journal:  J Phys Chem B       Date:  2008-01-03       Impact factor: 2.991

Review 6.  CHARMM: the biomolecular simulation program.

Authors:  B R Brooks; C L Brooks; A D Mackerell; L Nilsson; R J Petrella; B Roux; Y Won; G Archontis; C Bartels; S Boresch; A Caflisch; L Caves; Q Cui; A R Dinner; M Feig; S Fischer; J Gao; M Hodoscek; W Im; K Kuczera; T Lazaridis; J Ma; V Ovchinnikov; E Paci; R W Pastor; C B Post; J Z Pu; M Schaefer; B Tidor; R M Venable; H L Woodcock; X Wu; W Yang; D M York; M Karplus
Journal:  J Comput Chem       Date:  2009-07-30       Impact factor: 3.376

7.  A blind challenge for computational solvation free energies: introduction and overview.

Authors:  J Peter Guthrie
Journal:  J Phys Chem B       Date:  2009-04-09       Impact factor: 2.991

8.  Surveying implicit solvent models for estimating small molecule absolute hydration free energies.

Authors:  Jennifer L Knight; Charles L Brooks
Journal:  J Comput Chem       Date:  2011-07-06       Impact factor: 3.376

9.  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

10.  Generalized born model with a simple smoothing function.

Authors:  Wonpil Im; Michael S Lee; Charles L Brooks
Journal:  J Comput Chem       Date:  2003-11-15       Impact factor: 3.376

View more
  7 in total

1.  Calculating Partition Coefficients of Small Molecules in Octanol/Water and Cyclohexane/Water.

Authors:  Caitlin C Bannan; Gaetano Calabró; Daisy Y Kyu; David L Mobley
Journal:  J Chem Theory Comput       Date:  2016-08-01       Impact factor: 6.006

2.  FreeSolv: a database of experimental and calculated hydration free energies, with input files.

Authors:  David L Mobley; J Peter Guthrie
Journal:  J Comput Aided Mol Des       Date:  2014-06-14       Impact factor: 3.686

3.  Parallelization and improvements of the generalized born model with a simple sWitching function for modern graphics processors.

Authors:  Evan J Arthur; Charles L Brooks
Journal:  J Comput Chem       Date:  2016-01-20       Impact factor: 3.376

Review 4.  CHARMM-GUI PDB manipulator for advanced modeling and simulations of proteins containing nonstandard residues.

Authors:  Sunhwan Jo; Xi Cheng; Shahidul M Islam; Lei Huang; Huan Rui; Allen Zhu; Hui Sun Lee; Yifei Qi; Wei Han; Kenno Vanommeslaeghe; Alexander D MacKerell; Benoît Roux; Wonpil Im
Journal:  Adv Protein Chem Struct Biol       Date:  2014-08-24       Impact factor: 3.507

5.  Escaping Atom Types in Force Fields Using Direct Chemical Perception.

Authors:  David L Mobley; Caitlin C Bannan; Andrea Rizzi; Christopher I Bayly; John D Chodera; Victoria T Lim; Nathan M Lim; Kyle A Beauchamp; David R Slochower; Michael R Shirts; Michael K Gilson; Peter K Eastman
Journal:  J Chem Theory Comput       Date:  2018-10-30       Impact factor: 6.006

Review 6.  Molecular mechanics.

Authors:  Kenno Vanommeslaeghe; Olgun Guvench; Alexander D MacKerell
Journal:  Curr Pharm Des       Date:  2014       Impact factor: 3.116

7.  All-atom/coarse-grained hybrid predictions of distribution coefficients in SAMPL5.

Authors:  Samuel Genheden; Jonathan W Essex
Journal:  J Comput Aided Mol Des       Date:  2016-07-26       Impact factor: 3.686

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.