Mapping the avoid-ome: a systematic open-science approach to predictive ADMET.
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| Title: | Mapping the avoid-ome: a systematic open-science approach to predictive ADMET. |
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| Authors: | Fraser JS; Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, California, USA and Quantitative Biosciences Institute, University of California San Francisco, San Francisco, California, USA. jfraser@fraserlab.com., Edgar S; Octant, Inc, Emeryville, CA, USA., Handly LN; Octant, Inc, Emeryville, CA, USA., Kosuri S; Octant, Inc, Emeryville, CA, USA., Chodera JD; Computational and Systems Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA., Murcko M; Disruptive Biomedical LLC, Holliston, MA, USA., Walters WP; OpenADMET, Boston, MA, USA. pat.walters@omsf.io. |
| Source: | Nature communications [Nat Commun] 2026 May 25; Vol. 17 (1). Date of Electronic Publication: 2026 May 25. |
| Publication Type: | Journal Article; Review |
| Journal Info: | Publisher: Nature Pub. Group Country of Publication: England NLM ID: 101528555 Publication Model: Electronic Cited Medium: Internet ISSN: 2041-1723 (Electronic) Linking ISSN: 20411723 NLM ISO Abbreviation: Nat Commun Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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