Integrating in silico models and read-across methods for predicting toxicity of chemicals: A step-wise strategy.

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Bibliographic Details
Title: Integrating in silico models and read-across methods for predicting toxicity of chemicals: A step-wise strategy.
Authors: Benfenati E; Department of Environmental and Health Sciences, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Via La Masa 19, Milano, Italy. Electronic address: emilio.benfenati@marionegri.it., Chaudhry Q; University of Chester, Parkgate Road, Chester CH1 4BJ, United Kingdom., Gini G; Politecnico di Milano, piazza L. da Vinci 32, Milano, Italy., Dorne JL; Scientific Committee and Emerging Risks Unit, European Food Safety Authority, Via Carlo Magno 1A, Parma, Italy.
Source: Environment international [Environ Int] 2019 Oct; Vol. 131, pp. 105060. Date of Electronic Publication: 2019 Aug 01.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't; Review
Journal Info: Publisher: Elsevier Science Country of Publication: Netherlands NLM ID: 7807270 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-6750 (Electronic) Linking ISSN: 01604120 NLM ISO Abbreviation: Environ Int Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1873-6750
DOI:10.1016/j.envint.2019.105060