Mechanistic Task Groupings Enhance Multitask Deep Learning of Strain-Specific Ames Mutagenicity-Reference-Cited by-同舟云学术

Mechanistic Task Groupings Enhance Multitask Deep Learning of Strain-Specific Ames Mutagenicity

Published:2023-07-21 Issue:8 Volume:36 Page:1248-1254
ISSN:0893-228X
Container-title:Chemical Research in Toxicology
language:en
Short-container-title:Chem. Res. Toxicol.

Author:

Lui Raymond¹^ORCID,Guan Davy¹^ORCID,Matthews Slade¹^ORCID

Affiliation:

1. Computational Pharmacology and Toxicology Laboratory, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2006, Australia

Funder

Department of Health and Ageing, Australian Government

Sydney Medical School

Publisher

American Chemical Society (ACS)

Subject

Toxicology,General Medicine

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.chemrestox.2c00385

Reference34 articles.

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2. EMA. ICH guideline M7(R1) on assessment and control of DNA reactive (mutagenic) impurities in pharmaceuticals to limit potential carcinogenic risk; 2017.

3. OECD. Test No. 471: Bacterial Reverse Mutation Test; 2020.

4. An Improved Bacterial Test System for the Detection and Classification of Mutagens and Carcinogens

5. Carcinogens are Mutagens: A Simple Test System Combining Liver Homogenates for Activation and Bacteria for Detection

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