In silico approaches in organ toxicity hazard assessment: Current status and future needs for predicting heart, kidney and lung toxicities-Reference-Cited by-同舟云学术

In silico approaches in organ toxicity hazard assessment: Current status and future needs for predicting heart, kidney and lung toxicities

Published:2021-11 Issue: Volume:20 Page:100188
ISSN:2468-1113
Container-title:Computational Toxicology
language:en
Short-container-title:Computational Toxicology

Author:

Bassan Arianna^ORCID,Alves Vinicius M.,Amberg Alexander,Anger Lennart T.,Beilke Lisa^ORCID,Bender Andreas,Bernal Autumn,Cronin Mark T.D.,Hsieh Jui-Hua,Johnson Candice,Kemper Raymond,Mumtaz Moiz,Neilson Louise,Pavan Manuela^ORCID,Pointon Amy,Pletz Julia^ORCID,Ruiz Patricia,Russo Daniel P.^ORCID,Sabnis Yogesh,Sandhu Reena,Schaefer Markus,Stavitskaya Lidiya,Szabo David T.,Valentin Jean-Pierre,Woolley David^ORCID,Zwickl Craig,Myatt Glenn J.

Funder

National Institute of Environmental Health Sciences

Publisher

Elsevier BV

Subject

Health, Toxicology and Mutagenesis,Computer Science Applications,Toxicology

Reference205 articles.

1. EMA, Repeated dose toxicity, Guidel. Repeated Dose Toxic. (2010). https://www.ema.europa.eu/en/repeated-dose-toxicity.

2. C. Klaassen, L.J. Casarett, J. Doull, Casarett & Doull’s Toxicology., McGraw-Hill Publishing, Blacklick, 2013. https://public.ebookcentral.proquest.com/choice/publicfullrecord.aspx?p=4959412 (accessed March 26, 2021).

3. Investigating cell type specific mechanisms contributing to acute oral toxicity;Prieto;Altex,2019

4. W. Kaufmann, M.C. Jacobsen, Examination of organ toxicity, in: F.-X. Reichl, M. Schwenk (Eds.), Regul. Toxicol., Springer-Verlag, Berlin, Heidelberg, 2014: pp. 89–98. https://doi.org/10.1007/978-3-642-35374-1_32.

5. In silico toxicology protocols;Myatt;Regul. Toxicol. Pharmacol.,2018

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