Development of a Battery of In Silico Prediction Tools for Drug-Induced Liver Injury from the Vantage Point of Translational Safety Assessment-Reference-Cited by-同舟云学术

Development of a Battery of In Silico Prediction Tools for Drug-Induced Liver Injury from the Vantage Point of Translational Safety Assessment

Published:2020-12-23 Issue:2 Volume:34 Page:601-615
ISSN:0893-228X
Container-title:Chemical Research in Toxicology
language:en
Short-container-title:Chem. Res. Toxicol.

Author:

Rathman James¹²,Yang Chihae¹^ORCID,Ribeiro J. Vinicius¹,Mostrag Aleksandra¹,Thakkar Shraddha³^ORCID,Tong Weida³^ORCID,Hobocienski Bryan¹,Sacher Oliver¹,Magdziarz Tomasz¹,Bienfait Bruno¹

Affiliation:

1. Molecular Networks GmbH - Computerchemie (MN-AM), 90411 Nurnberg, Germany

2. Chemical and Biomolecular Engineering, The Ohio State University, Columbus, Ohio 43210, United States

3. National Center for Toxicology Research, United States Food and Drug Administration, Jefferson, Arkansas 72079, United States

Funder

Vrije Universiteit Brussel

Horizon 2020 Framework Programme

European Federation of Pharmaceutical Industries and Associations

Cosmetics Europe

Publisher

American Chemical Society (ACS)

Subject

Toxicology,General Medicine

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.chemrestox.0c00423

Reference73 articles.

1. Drug-induced liver injury: Advances in mechanistic understanding that will inform risk management

2. Intrinsic versus Idiosyncratic Drug-Induced Hepatotoxicity—Two Villains or One?

3. Biochemical mechanisms in drug-induced liver injury: Certainties and doubts

4. Mechanisms of Drug-induced Liver Injury

5. The Promise of New Technologies to Reduce, Refine, or Replace Animal Use while Reducing Risks of Drug Induced Liver Injury in Pharmaceutical Development

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