International Journal of Quantum Chemistry · 2017 · 97 citations · 36 references
Natural SciencesChemistryPhysicsComputational ChemistryMolecular PhysicsTheoretical ChemistryConformational AnalysisEnergy MinimizationForce FieldsMolecular MechanicsMolecular ModelingMolecular Orbital TheoryClassical Force FieldsComputational ScreeningCorrelationLow-energy ConformersMolecular Conformation AnalysisMolecular Conformation PredictionRank CorrelationStructure-based Models
Abstract We have carried out a large scale computational investigation to assess the utility of common small‐molecule force fields for computational screening of low energy conformers of typical organic molecules. Using statistical analyses on the energies and relative rankings of up to 250 diverse conformers of 700 different molecular structures, we find that energies from widely used classical force fields (MMFF94, UFF, and GAFF) show unconditionally poor energy and rank correlation with semiempirical (PM7) and Kohn–Sham density functional theory (DFT) energies calculated at PM7 and DFT optimized geometries. In contrast, semiempirical PM7 calculations show significantly better correlation with DFT calculations and generally better geometries. With these results, we make recommendations to more reliably carry out conformer screening.
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Development and testing of a general amber force field
Junmei Wang, Romain M. Wolf, James W. Caldwell et al. · Journal of Computational Chemistry · 2004 · 19.6K citations
Frank Neese · Wiley Interdisciplinary Reviews Computational Molecular Science · 2011 · 13.1K citations
Natural Sciences, Chemistry, Physics +17