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AlphaFold2 structures guide prospective ligand discovery.
Lyu, Jiankun; Kapolka, Nicholas; Gumpper, Ryan; Alon, Assaf; Wang, Liang; Jain, Manish K; Barros-Álvarez, Ximena; Sakamoto, Kensuke; Kim, Yoojoong; DiBerto, Jeffrey; Kim, Kuglae; Glenn, Isabella S; Tummino, Tia A; Huang, Sijie; Irwin, John J; Tarkhanova, Olga O; Moroz, Yurii; Skiniotis, Georgios; Kruse, Andrew C; Shoichet, Brian K; Roth, Bryan L.
Affiliation
  • Lyu J; Department of Pharmaceutical Chemistry, University of California, San Francisco, CA 94158, USA.
  • Kapolka N; The Evnin Family Laboratory of Computational Molecular Discovery, The Rockefeller University, New York, NY 10065, USA.
  • Gumpper R; Department of Pharmacology, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC 27599, USA.
  • Alon A; Department of Pharmacology, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC 27599, USA.
  • Wang L; Department of Biological Chemistry and Molecular Pharmacology, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA.
  • Jain MK; Department of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford, CA 94035, USA.
  • Barros-Álvarez X; Department of Pharmacology, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC 27599, USA.
  • Sakamoto K; Department of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford, CA 94035, USA.
  • Kim Y; Department of Pharmacology, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC 27599, USA.
  • DiBerto J; National Institute of Mental Health Psychoactive Drug Screening Program (NIMH PDSP), School of Medicine, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC 27599, USA.
  • Kim K; Department of Pharmacology, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC 27599, USA.
  • Glenn IS; Department of Pharmacology, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC 27599, USA.
  • Tummino TA; Department of Pharmacology, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC 27599, USA.
  • Huang S; Department of Pharmaceutical Chemistry, University of California, San Francisco, CA 94158, USA.
  • Irwin JJ; Department of Pharmaceutical Chemistry, University of California, San Francisco, CA 94158, USA.
  • Tarkhanova OO; Department of Pharmaceutical Chemistry, University of California, San Francisco, CA 94158, USA.
  • Moroz Y; Department of Pharmaceutical Chemistry, University of California, San Francisco, CA 94158, USA.
  • Skiniotis G; Chemspace LLC, Kyiv 02094, Ukraine.
  • Kruse AC; Chemspace LLC, Kyiv 02094, Ukraine.
  • Shoichet BK; Taras Shevchenko National University of Kyiv, Kyiv 01601, Ukraine.
  • Roth BL; Enamine Ltd., Kyiv 02094, Ukraine.
Science ; 384(6702): eadn6354, 2024 Jun 21.
Article in En | MEDLINE | ID: mdl-38753765
ABSTRACT
AlphaFold2 (AF2) models have had wide impact but mixed success in retrospective ligand recognition. We prospectively docked large libraries against unrefined AF2 models of the σ2 and serotonin 2A (5-HT2A) receptors, testing hundreds of new molecules and comparing results with those obtained from docking against the experimental structures. Hit rates were high and similar for the experimental and AF2 structures, as were affinities. Success in docking against the AF2 models was achieved despite differences between orthosteric residue conformations in the AF2 models and the experimental structures. Determination of the cryo-electron microscopy structure for one of the more potent 5-HT2A ligands from the AF2 docking revealed residue accommodations that resembled the AF2 prediction. AF2 models may sample conformations that differ from experimental structures but remain low energy and relevant for ligand discovery, extending the domain of structure-based drug design.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Receptor, Serotonin, 5-HT2A / Drug Discovery / Serotonin 5-HT2 Receptor Agonists / Serotonin 5-HT2 Receptor Antagonists / Molecular Docking Simulation / Deep Learning Limits: Humans Language: En Journal: Science Year: 2024 Document type: Article Affiliation country: Estados Unidos

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Receptor, Serotonin, 5-HT2A / Drug Discovery / Serotonin 5-HT2 Receptor Agonists / Serotonin 5-HT2 Receptor Antagonists / Molecular Docking Simulation / Deep Learning Limits: Humans Language: En Journal: Science Year: 2024 Document type: Article Affiliation country: Estados Unidos