DeorphaNN: Virtual screening of GPCR peptide agonists using AlphaFold-predicted active-state complexes and deep learning embeddings.

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Bibliographic Details
Title: DeorphaNN: Virtual screening of GPCR peptide agonists using AlphaFold-predicted active-state complexes and deep learning embeddings.
Authors: Ferguson L; Neurobiology Division, MRC Laboratory of Molecular Biology, Cambridge, UK. Electronic address: lariferg@gmail.com., Ouellet S; Independent Researcher, Ottawa, ON, Canada., Vandewyer E; Department of Biology, KU Leuven, Leuven, Belgium., Wang C; Independent Researcher, Ottawa, ON, Canada., Wunna Z; Neurobiology Division, MRC Laboratory of Molecular Biology, Cambridge, UK., Lim TKY; Department of Pharmacology, University of Cambridge, Cambridge, UK., Schafer WR; Neurobiology Division, MRC Laboratory of Molecular Biology, Cambridge, UK; Department of Biology, KU Leuven, Leuven, Belgium., Beets I; Department of Biology, KU Leuven, Leuven, Belgium.
Source: Molecular cell [Mol Cell] 2026 Jul 23. Date of Electronic Publication: 2026 Jul 23.
Publication Type: Journal Article
Journal Info: Publisher: Cell Press Country of Publication: United States NLM ID: 9802571 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1097-4164 (Electronic) Linking ISSN: 10972765 NLM ISO Abbreviation: Mol Cell Subsets: MEDLINE
Database: MEDLINE Ultimate
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