The Journal of Physical Chemistry B · 2014 · 108 citations · 84 references
Natural SciencesChemistryBiomolecular ModelingComputational BiophysicsComputational ChemistryComputational Molecular BiophysicsForce FieldsMolecular DynamicsMolecular ModelingMolecular SimulationSolvation ModelingAdaptive OptimizationForce Field DevelopmentMolecular Dynamics Force FieldsMolecular Dynamics Free Energy CalculationsParallel OptimizationPolarizationSolvation Free EnergySolvation Free Energy Prediction
Free energy calculation has long been an important goal for molecular dynamics simulation and force field development, but historically it has been challenged by limited performance, accuracy, and creation of topologies for arbitrary small molecules. This has made it difficult to systematically compare different sets of parameters to improve existing force fields, but in the past few years several authors have developed increasingly automated procedures to generate parameters for force fields such as Amber, CHARMM, and OPLS. Here, we present a new framework that enables fully automated generation of GROMACS topologies for any of these force fields and an automated setup for parallel adaptive optimization of high-throughput free energy calculation by adjusting lambda point placement on the fly. As a small example of this automated pipeline, we have calculated solvation free energies of 50 different small molecules using the GAFF, OPLS-AA, and CGenFF force fields and four different water models, and by including the often neglected polarization costs, we show that the common charge models are somewhat underpolarized.
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Density-functional thermochemistry. III. The role of exact exchange
Axel D. Becke · The Journal of Chemical Physics · 1993 · 102.8K citations
Natural Sciences, Chemistry, Physics +13
A smooth particle mesh Ewald method
Ulrich Essmann, L. Perera, Max L. Berkowitz et al. · The Journal of Chemical Physics · 1995 · 22.9K citations