Published March 8, 2022 | Version v1
Poster Open

Benchmarking QM theory for drug-like molecules to train force fields

  • 1. Pharmaceutical Sciences, University of California Irvine, Irvine, CA, USA
  • 2. Department of Chemistry, University of California Davis, Davis, CA, USA
  • 3. School of Natural and Environmental Sciences, Newcastle University, Newcastle upon Tyne NE1, 7RU, United Kingdom
  • 4. 7Open Force Field Consortium, Open Molecular Software Foundation, Davis, CA, USA
  • 5. 6Boothroyd Scientific Consulting Ltd, London, United Kingdom
  • 6. Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
  • 7. Computational Biomolecular Dynamics Group, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany
  • 8. Department of Chemistry, University of California Irvine, Irvine, CA, USA
  • 9. Computational Chemistry, Jannsen Research & Development, Turnhoutseweg 30, Beerse B-2340, Belgium
  • 10. Chemical & Biological Engineering, University of Colorado Boulder, Boulder, CO, USA
  • 11. Computational & Systems Biology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
  • 12. OpenEye Scientific Software, Santa Fe, NM, USA

Description

Poster presented at CUP XXI, March 08, 2022 - March 10, 2022, Santa Fe, New Mexico, USA.

Abstract: A wide range of density functional methods and a large number of basis sets are available to derive the electronic structure and properties of molecules. Estimating the accuracy of theory level for desired properties, and choosing a method with a low computational cost, need a comprehensive evaluation of the methods on a test set of representative molecules. This study shows benchmark on torsiondrives of small molecules with respect to CCSD(T)/CBS//MP2/heavy-aug-cc-pvtz level of reference.

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