Toxicity prediction using target, interactome, and pathway profiles as descriptors.

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Bibliographic Details
Title: Toxicity prediction using target, interactome, and pathway profiles as descriptors.
Authors: Füzi B; Department of Pharmaceutical Sciences, Faculty of Life Sciences, University of Vienna, 1090 Vienna, Austria., Mathai N; Department of Chemistry and Computational Biology Init (CBU), University of Bergen, N-5020 Bergen, Norway., Kirchmair J; Department of Pharmaceutical Sciences, Faculty of Life Sciences, University of Vienna, 1090 Vienna, Austria; Department of Chemistry and Computational Biology Init (CBU), University of Bergen, N-5020 Bergen, Norway., Ecker GF; Department of Pharmaceutical Sciences, Faculty of Life Sciences, University of Vienna, 1090 Vienna, Austria. Electronic address: gerhard.f.ecker@univie.ac.at.
Source: Toxicology letters [Toxicol Lett] 2023 May 15; Vol. 381, pp. 20-26. Date of Electronic Publication: 2023 Apr 13.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: Netherlands NLM ID: 7709027 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-3169 (Electronic) Linking ISSN: 03784274 NLM ISO Abbreviation: Toxicol Lett Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1879-3169
DOI:10.1016/j.toxlet.2023.04.005