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Predicting Prenatal Developmental Toxicity Based On the Combination of Chemical Structures and Biological Data.

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Bibliographic Details
Title: Predicting Prenatal Developmental Toxicity Based On the Combination of Chemical Structures and Biological Data.
Authors: Ciallella HL; Center for Computational and Integrative Biology, Rutgers University, Camden, New Jersey 08103, United States., Russo DP; Center for Computational and Integrative Biology, Rutgers University, Camden, New Jersey 08103, United States.; Department of Chemistry, Rutgers University, Camden, New Jersey 08102, United States., Sharma S; Center for Computational and Integrative Biology, Rutgers University, Camden, New Jersey 08103, United States., Li Y; The Lubrizol Corporation, Wickliffe, Ohio 44092, United States., Sloter E; The Lubrizol Corporation, Wickliffe, Ohio 44092, United States., Sweet L; The Lubrizol Corporation, Wickliffe, Ohio 44092, United States., Huang H; Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, Pennsylvania 15261, United States., Zhu H; Center for Computational and Integrative Biology, Rutgers University, Camden, New Jersey 08103, United States.; Department of Chemistry, Rutgers University, Camden, New Jersey 08102, United States.
Source: Environmental science & technology [Environ Sci Technol] 2022 May 03; Vol. 56 (9), pp. 5984-5998. Date of Electronic Publication: 2022 Apr 22.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't; Research Support, N.I.H., Extramural
Journal Info: Publisher: American Chemical Society Country of Publication: United States NLM ID: 0213155 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1520-5851 (Electronic) Linking ISSN: 0013936X NLM ISO Abbreviation: Environ Sci Technol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1520-5851
DOI:10.1021/acs.est.2c01040