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Machine learning modeling of zebrafish toxicity endpoints after exposure to PROTACs.

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Bibliographic Details
Title:	Machine learning modeling of zebrafish toxicity endpoints after exposure to PROTACs.
Authors:	Yogodzinski C; Collaborations Pharmaceuticals, Inc, Raleigh, NC 27606, United States., Harris JS; Collaborations Pharmaceuticals, Inc, Raleigh, NC 27606, United States., Lane TR; Collaborations Pharmaceuticals, Inc, Raleigh, NC 27606, United States., Barnes M; Collaborations Pharmaceuticals, Inc, Raleigh, NC 27606, United States., Vignaux PA; Collaborations Pharmaceuticals, Inc, Raleigh, NC 27606, United States., Raman R; Collaborations Pharmaceuticals, Inc, Raleigh, NC 27606, United States., Truong L; Department of Environmental and Molecular Toxicology, Sinnhuber Aquatic Research Laboratory, Oregon State University, Corvallis, OR 97333, United States., Tanguy RL; Department of Environmental and Molecular Toxicology, Sinnhuber Aquatic Research Laboratory, Oregon State University, Corvallis, OR 97333, United States., Kullman SW; Department of Biological Sciences, Toxicology Program, North Carolina State University, Raleigh, NC 27695-7633, United States., Ekins S; Collaborations Pharmaceuticals, Inc, Raleigh, NC 27606, United States.
Source:	Toxicological sciences : an official journal of the Society of Toxicology [Toxicol Sci] 2026 Jan 30; Vol. 209 (1).
Publication Type:	Journal Article; Research Support, U.S. Gov't, Non-P.H.S.
Journal Info:	Publisher: Oxford University Press Country of Publication: United States NLM ID: 9805461 Publication Model: Print Cited Medium: Internet ISSN: 1096-0929 (Electronic) Linking ISSN: 10960929 NLM ISO Abbreviation: Toxicol Sci Subsets: MEDLINE
Database:	MEDLINE Ultimate

Description
ISSN:	1096-0929
DOI:	10.1093/toxsci/kfaf162