ProCyon: A multimodal foundation model for protein phenotypes.

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Title: ProCyon: A multimodal foundation model for protein phenotypes.
Authors: Queen O; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.; Department of Computer Science, Stanford University, Stanford, CA, USA., Huang Y; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA., Calef R; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.; Computer Science and Artificial Intelligence Laboratory, MIT, Cambridge, MA, USA., Giunchiglia V; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.; Department of Brain Sciences, Imperial College London, London, UK.; Centre for Neuroimaging Sciences, King's College London, London, UK., Chen T; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.; Computer Science and Artificial Intelligence Laboratory, MIT, Cambridge, MA, USA., Dasoulas G; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA., Tai L; Computer Science and Artificial Intelligence Laboratory, MIT, Cambridge, MA, USA., Abbadessa G; Department of Brain Sciences, Imperial College London, London, UK.; University of Campania Luigi Vanvitelli, Naples, Italy., Howell O; Department of Brain Sciences, Imperial College London, London, UK.; Medical School, Swansea University, Swansea, UK., Li MM; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA., Ektefaie Y; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA., Noori A; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA., Farkas I; Department of Brain Sciences, Imperial College London, London, UK., Brown J; Department of Chemistry, MIT, Cambridge, MA, USA., Cobley T; Department of Computer Science, Stanford University, Stanford, CA, USA.; Department of Computing, Imperial College London, London, UK., Hrovatin K; Institute of Computational Biology, Computational Health Center, Helmholtz Munich, Munich, Germany.; TUM School of Life Sciences Weihenstephan, Technical University of Munich, Freising, Germany., Hartvigsen T; School of Data Science, University of Virginia, VA, USA., Theis FJ; Institute of Computational Biology, Computational Health Center, Helmholtz Munich, Munich, Germany.; School of Computation, Information and Technology, Technical University of Munich, Garching, Germany., Pentelute BL; Department of Chemistry, MIT, Cambridge, MA, USA.; Broad Institute of MIT and Harvard, Cambridge, MA, USA., Zou J; Department of Biomedical Data Science, Stanford University, Stanford, CA, USA., Khurana V; Broad Institute of MIT and Harvard, Cambridge, MA, USA.; Department of Neurology, Brigham and Women's Hospital, Boston, MA, USA.; Harvard Stem Cell Institute, Cambridge, MA, USA., Owen D; Department of Brain Sciences, Imperial College London, London, UK., Nicholas R; Department of Brain Sciences, Imperial College London, London, UK.; Centre for Neuroimaging Sciences, King's College London, London, UK.; Medical School, Swansea University, Swansea, UK., Kellis M; Computer Science and Artificial Intelligence Laboratory, MIT, Cambridge, MA, USA.; Broad Institute of MIT and Harvard, Cambridge, MA, USA., Zitnik M; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.; Harvard Stem Cell Institute, Cambridge, MA, USA.; Kempner Institute for the Study of Natural and Artificial Intelligence, Harvard University, MA, USA.; Harvard Data Science Initiative, Cambridge, MA, USA.
Source: BioRxiv : the preprint server for biology [bioRxiv] 2025 Nov 03. Date of Electronic Publication: 2025 Nov 03.
Publication Type: Journal Article; Preprint
Journal Info: Country of Publication: United States NLM ID: 101680187 Publication Model: Electronic Cited Medium: Internet ISSN: 2692-8205 (Electronic) Linking ISSN: 26928205 NLM ISO Abbreviation: bioRxiv Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2692-8205
DOI:10.1101/2024.12.10.627665