Collaborative Assessment of Molecular Geometries and Energies from the Open Force Field

Force fields form the basis for classical molecular simulations, and their accuracy is crucial for the quality of, for instance, protein–ligand binding simulations in drug discovery. The huge diversity of small-molecule chemistry makes it a challenge to build and parameterize a suitable force field....

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Veröffentlicht in:Journal of chemical information and modeling 2022-12, Vol.62 (23), p.6094-6104
Hauptverfasser: D’Amore, Lorenzo, Hahn, David F., Dotson, David L., Horton, Joshua T., Anwar, Jamshed, Craig, Ian, Fox, Thomas, Gobbi, Alberto, Lakkaraju, Sirish Kaushik, Lucas, Xavier, Meier, Katharina, Mobley, David L., Narayanan, Arjun, Schindler, Christina E. M., Swope, William C., in ’t Veld, Pieter J., Wagner, Jeffrey, Xue, Bai, Tresadern, Gary
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container_end_page 6104
container_issue 23
container_start_page 6094
container_title Journal of chemical information and modeling
container_volume 62
creator D’Amore, Lorenzo
Hahn, David F.
Dotson, David L.
Horton, Joshua T.
Anwar, Jamshed
Craig, Ian
Fox, Thomas
Gobbi, Alberto
Lakkaraju, Sirish Kaushik
Lucas, Xavier
Meier, Katharina
Mobley, David L.
Narayanan, Arjun
Schindler, Christina E. M.
Swope, William C.
in ’t Veld, Pieter J.
Wagner, Jeffrey
Xue, Bai
Tresadern, Gary
description Force fields form the basis for classical molecular simulations, and their accuracy is crucial for the quality of, for instance, protein–ligand binding simulations in drug discovery. The huge diversity of small-molecule chemistry makes it a challenge to build and parameterize a suitable force field. The Open Force Field Initiative is a combined industry and academic consortium developing a state-of-the-art small-molecule force field. In this report, industry members of the consortium worked together to objectively evaluate the performance of the force fields (referred to here as OpenFF) produced by the initiative on a combined public and proprietary dataset of 19,653 relevant molecules selected from their internal research and compound collections. This evaluation was important because it was completely blind; at most partners, none of the molecules or data were used in force field development or testing prior to this work. We compare the Open Force Field “Sage” version 2.0.0 and “Parsley” version 1.3.0 with GAFF-2.11-AM1BCC, OPLS4, and SMIRNOFF99Frosst. We analyzed force-field-optimized geometries and conformer energies compared to reference quantum mechanical data. We show that OPLS4 performs best, and the latest Open Force Field release shows a clear improvement compared to its predecessors. The performance of established force fields such as GAFF-2.11 was generally worse. While OpenFF researchers were involved in building the benchmarking infrastructure used in this work, benchmarking was done entirely in-house within industrial organizations and the resulting assessment is reported here. This work assesses the force field performance using separate benchmarking steps, external datasets, and involving external research groups. This effort may also be unique in terms of the number of different industrial partners involved, with 10 different companies participating in the benchmark efforts.
doi_str_mv 10.1021/acs.jcim.2c01185
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subjects Benchmarks
Computational Chemistry
Consortia
Datasets
Industrial development
Ligands
Performance evaluation
Physical Phenomena
Proteins - chemistry
Quantum mechanics
Thermodynamics
title Collaborative Assessment of Molecular Geometries and Energies from the Open Force Field
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