Predicting Drug-Induced Hepatotoxicity Using QSAR and Toxicogenomics Approaches-Reference-Cited by-同舟云学术

Predicting Drug-Induced Hepatotoxicity Using QSAR and Toxicogenomics Approaches

Published:2011-07-21 Issue:8 Volume:24 Page:1251-1262
ISSN:0893-228X
Container-title:Chemical Research in Toxicology
language:en
Short-container-title:Chem. Res. Toxicol.

Author:

Low Yen¹²,Uehara Takeki²³,Minowa Yohsuke³,Yamada Hiroshi³,Ohno Yasuo⁴,Urushidani Tetsuro³⁵,Sedykh Alexander¹,Muratov Eugene¹⁶,Kuz’min Viktor⁶,Fourches Denis¹,Zhu Hao¹,Rusyn Ivan²,Tropsha Alexander¹

Affiliation:

1. Laboratory for Molecular Modeling, University of North Carolina, Chapel Hill, North Carolina 27599, United States

2. Department of Environmental Sciences & Engineering, University of North Carolina, Chapel Hill, North Carolina 27599, United States

3. Toxicogenomics Informatics Project, National Institute of Biomedical Innovation, Asagi, Osaka, Japan

4. National Institute of Health Sciences, Kamiyoga, Tokyo, Japan

5. Doshisha Women's College of Liberal Arts, Kodo, Kyoto, Japan

6. A.V. Bogatsky Physical-Chemical Institute NAS of Ukraine, Odessa, Ukraine

Publisher

American Chemical Society (ACS)

Subject

Toxicology,General Medicine

Link

https://pubs.acs.org/doi/pdf/10.1021/tx200148a

Reference49 articles.

1. Why Drugs Fail - A Study on Side Effects in New Chemical Entities

2. Best Practices for QSAR Model Development, Validation, and Exploitation

3. Structure – ADME relationship: still a long way to go?

4. Use of transcriptomics in understanding mechanisms of drug-induced toxicity

5. Use of toxicogenomics to understand mechanisms of drug-induced hepatotoxicity during drug discovery and development

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