Using Machine Learning Methods and Structural Alerts for Prediction of Mitochondrial Toxicity-Reference-Cited by-同舟云学术

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Using Machine Learning Methods and Structural Alerts for Prediction of Mitochondrial Toxicity

Published:2020-03-23 Issue:5 Volume:39 Page:2000005
ISSN:1868-1743
Container-title:Molecular Informatics
language:en
Short-container-title:Mol. Inf.

Author:

Hemmerich Jennifer¹^ORCID,Troger Florentina¹,Füzi Barbara¹,F.Ecker Gerhard¹

Affiliation:

1. University of ViennaDepartment of Pharmaceutical Chemistry Althanstr. 14 1090 Vienna Austria

Funder

European Federation of Pharmaceutical Industries and Associations

Publisher

Wiley

Subject

Organic Chemistry,Computer Science Applications,Drug Discovery,Molecular Medicine,Structural Biology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/minf.202000005

Reference36 articles.

1. Effects of Troglitazone on HepG2 Viability and Mitochondrial Function

2. Statin-Induced Muscle Necrosis in the Rat: Distribution, Development, and Fibre Selectivity

3. The significance of mitochondrial toxicity testing in drug development

4. Drug-Induced Liver Injury: Cascade of Events Leading to Cell Death, Apoptosis or Necrosis

5. Statins, Muscle Disease and Mitochondria

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