Benchmarking Quantum Mechanical Levels of Theory for Valence Parametrization in Force Fields
Preprint
- 14 May 2024
- preprint
- Published by American Chemical Society (ACS) in ChemRxiv
Abstract
A wide range of density functional methods and basis sets are available to derive the electronic structure and properties of molecules. Quantum mechanical calculations are too computationally intensive for routine simulation of molecules in the condensed phase, prompting the development of computationally efficient force fields based on quantum mechanical data. Parametrizing general force fields, which cover a vast chemical space, necessitates generating sizable quantum mechanical datasets with optimized geometries and torsion scans. To achieve this efficiently, it is crucial to choose a quantum mechanical method that balances computational cost and accuracy. In this study we seek to assess the accuracy of quantum mechanical theory for specific properties such as conformer energies, and torsion energetics. To comprehensively evaluate various methods, we focus on a representative set of 59 diverse small molecules, comparing approximately 25 combinations of functional and basis sets against the reference level coupled cluster calculations at complete basis set limit.Keywords
All Related Versions
Funding Information
- National Institute of Health Sciences (R01GM132386)
- National Institute of Health Sciences (R35GM148236)
- UK Research and Innovation (MR/T019654/1)
- American Chemical Society Petroleum Research Fund (58158-DNI6)
This publication has 84 references indexed in Scilit:
- Towards full Quantum‐Mechanics‐based Protein–Ligand Binding AffinitiesChemphyschem, 2017
- Corrected small basis set Hartree‐Fock method for large systemsJournal of Computational Chemistry, 2013
- Effect of the damping function in dispersion corrected density functional theoryJournal of Computational Chemistry, 2011
- CHARMM general force field: A force field for drug‐like molecules compatible with the CHARMM all‐atom additive biological force fieldsJournal of Computational Chemistry, 2009
- Starting SCF calculations by superposition of atomic densitiesJournal of Computational Chemistry, 2006
- A biomolecular force field based on the free enthalpy of hydration and solvation: The GROMOS force‐field parameter sets 53A5 and 53A6Journal of Computational Chemistry, 2004
- Development and testing of a general amber force fieldJournal of Computational Chemistry, 2004
- 6‐31G* basis set for third‐row atomsJournal of Computational Chemistry, 2001
- An Introduction to Coupled Cluster Theory for Computational Chemists2000
- Principles for a direct SCF approach to LICAO–MOab‐initio calculationsJournal of Computational Chemistry, 1982