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Collaborative Assessment of Molecular Geometries and Energies from the Open Force Field.
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.
Affiliation
  • D'Amore L; Computational Chemistry, Janssen R&D, C/Jarama 75A, 45007Toledo, Spain.
  • Hahn DF; Computational Chemistry, Janssen R&D, Turnhoutseweg 30, BeerseB-2340, Belgium.
  • Dotson DL; The Open Force Field Initiative, Open Molecular Software Foundation, Davis, California95616, United States.
  • Horton JT; School of Natural and Environmental Sciences, Newcastle University, Newcastle upon TyneNE1 7RU, U.K.
  • Anwar J; Department of Chemistry, Lancaster University, LancasterLA1 4YW, U.K.
  • Craig I; Molecular Modeling & Drug Discovery, BASF SE, 67056Ludwigshafen, Germany.
  • Fox T; Medicinal Chemistry, Boehringer Ingelheim Pharma GmbH & Co KG, 88397Biberach/Riss, Germany.
  • Gobbi A; Genentech, Inc., 1 DNA Way, South San Francisco, California94080, United States.
  • Lakkaraju SK; Small Molecule Drug Discovery, Bristol Myers Squibb, Princeton, New Jersey08540, United States.
  • Lucas X; Roche Pharma Research and Early Development, Therapeutic Modalities, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd., Grenzacherstrasse 124, 4070Basel, Switzerland.
  • Meier K; Computational Life Science Technology Functions, Crop Science, R&D, Bayer AG, 40789Monheim, Germany.
  • Mobley DL; Departments of Pharmaceutical Sciences and Chemistry, University of California, Irvine92617, United States.
  • Narayanan A; Data and Computational Sciences, Vertex Pharmaceuticals, 50 Northern Avenue, Boston, Massachusetts02210, United States.
  • Schindler CEM; Computational Chemistry & Biologics, Merck KGaA, Frankfurter Strasse 250, 64293Darmstadt, Germany.
  • Swope WC; Genentech, Inc., 1 DNA Way, South San Francisco, California94080, United States.
  • In 't Veld PJ; Molecular Modeling & Drug Discovery, BASF SE, 67056Ludwigshafen, Germany.
  • Wagner J; The Open Force Field Initiative, Open Molecular Software Foundation, Davis, California95616, United States.
  • Xue B; Chemistry Department, The University of California at Irvine, Irvine, California92617, United States.
  • Tresadern G; XtalPi Inc. Floor 3, International Biomedical Innovation Park II, No. 2 Hongliu Road, Fubao Community, Fubao Street, Futian District, Shenzhen, Guangdong518040, China.
J Chem Inf Model ; 62(23): 6094-6104, 2022 Dec 12.
Article de En | MEDLINE | ID: mdl-36433835
ABSTRACT
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.
Sujet(s)

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Protéines Langue: En Journal: J Chem Inf Model Sujet du journal: INFORMATICA MEDICA / QUIMICA Année: 2022 Type de document: Article Pays d'affiliation: Espagne

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Protéines Langue: En Journal: J Chem Inf Model Sujet du journal: INFORMATICA MEDICA / QUIMICA Année: 2022 Type de document: Article Pays d'affiliation: Espagne