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An Open Drug Discovery Competition: Experimental Validation of Predictive Models in a Series of Novel Antimalarials.
Tse, Edwin G; Aithani, Laksh; Anderson, Mark; Cardoso-Silva, Jonathan; Cincilla, Giovanni; Conduit, Gareth J; Galushka, Mykola; Guan, Davy; Hallyburton, Irene; Irwin, Benedict W J; Kirk, Kiaran; Lehane, Adele M; Lindblom, Julia C R; Lui, Raymond; Matthews, Slade; McCulloch, James; Motion, Alice; Ng, Ho Leung; Öeren, Mario; Robertson, Murray N; Spadavecchio, Vito; Tatsis, Vasileios A; van Hoorn, Willem P; Wade, Alexander D; Whitehead, Thomas M; Willis, Paul; Todd, Matthew H.
Afiliação
  • Tse EG; School of Pharmacy, University College London, London WC1N 1AX, U.K.
  • Aithani L; Exscientia Ltd., The Schrödinger Building, Oxford Science Park, Oxford OX4 4GE, U.K.
  • Anderson M; Drug Discovery Unit, Division of Biological Chemistry and Drug Discovery, School of Life Sciences, University of Dundee, Dundee DD1 5EH, U.K.
  • Cardoso-Silva J; Department of Informatics, Faculty of Natural and Mathematical Sciences, King's College London, London WC2B 4BG, U.K.
  • Cincilla G; Molomics, Barcelona Science Park, Barcelona 08028, Spain.
  • Conduit GJ; Intellegens Ltd., Eagle Labs, Chesterton Road, Cambridge CB4 3AZ, U.K.
  • Galushka M; Theory of Condensed Matter Group, Cavendish Laboratories, University of Cambridge, Cambridge CB3 0HE, U.K.
  • Guan D; Auromind Ltd, 126 Eglantine Avenue, Belfast BT9 6EU, U.K.
  • Hallyburton I; School of Medical Sciences, The University of Sydney, Sydney, NSW 2006, Australia.
  • Irwin BWJ; Drug Discovery Unit, Division of Biological Chemistry and Drug Discovery, School of Life Sciences, University of Dundee, Dundee DD1 5EH, U.K.
  • Kirk K; Theory of Condensed Matter Group, Cavendish Laboratories, University of Cambridge, Cambridge CB3 0HE, U.K.
  • Lehane AM; Optibrium Ltd. Blenheim House, Denny End Road, Cambridge CB25 9QE, U.K.
  • Lindblom JCR; Research School of Biology, Australian National University, Canberra, ACT 2601, Australia.
  • Lui R; Research School of Biology, Australian National University, Canberra, ACT 2601, Australia.
  • Matthews S; Research School of Biology, Australian National University, Canberra, ACT 2601, Australia.
  • McCulloch J; School of Medical Sciences, The University of Sydney, Sydney, NSW 2006, Australia.
  • Motion A; School of Medical Sciences, The University of Sydney, Sydney, NSW 2006, Australia.
  • Ng HL; Kellerberrin, 6 Wharf Rd, Balmain, Sydney, NSW 2041, Australia.
  • Öeren M; School of Chemistry, The University of Sydney, Sydney, NSW 2006, Australia.
  • Robertson MN; Department of Biochemistry and Molecular Biophysics, Kansas State University, Manhattan Kansas 66506, United States.
  • Spadavecchio V; Optibrium Ltd. Blenheim House, Denny End Road, Cambridge CB25 9QE, U.K.
  • Tatsis VA; Strathclyde Institute Of Pharmacy And Biomedical Sciences, University of Strathclyde, Glasgow G4 ORE, U.K.
  • van Hoorn WP; Interlinked Therapeutics LLC, Portland, Oregon 97214, United States.
  • Wade AD; Exscientia Ltd., The Schrödinger Building, Oxford Science Park, Oxford OX4 4GE, U.K.
  • Whitehead TM; Exscientia Ltd., The Schrödinger Building, Oxford Science Park, Oxford OX4 4GE, U.K.
  • Willis P; Theory of Condensed Matter Group, Cavendish Laboratories, University of Cambridge, Cambridge CB3 0HE, U.K.
  • Todd MH; Intellegens Ltd., Eagle Labs, Chesterton Road, Cambridge CB4 3AZ, U.K.
J Med Chem ; 64(22): 16450-16463, 2021 11 25.
Article em En | MEDLINE | ID: mdl-34748707
ABSTRACT
The Open Source Malaria (OSM) consortium is developing compounds that kill the human malaria parasite, Plasmodium falciparum, by targeting PfATP4, an essential ion pump on the parasite surface. The structure of PfATP4 has not been determined. Here, we describe a public competition created to develop a predictive model for the identification of PfATP4 inhibitors, thereby reducing project costs associated with the synthesis of inactive compounds. Competition participants could see all entries as they were submitted. In the final round, featuring private sector entrants specializing in machine learning methods, the best-performing models were used to predict novel inhibitors, of which several were synthesized and evaluated against the parasite. Half possessed biological activity, with one featuring a motif that the human chemists familiar with this series would have dismissed as "ill-advised". Since all data and participant interactions remain in the public domain, this research project "lives" and may be improved by others.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: ATPases Transportadoras de Cálcio / Inibidores Enzimáticos / Descoberta de Drogas / Modelos Biológicos / Antimaláricos Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: ATPases Transportadoras de Cálcio / Inibidores Enzimáticos / Descoberta de Drogas / Modelos Biológicos / Antimaláricos Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article