Confidence in Inactive and Active Predictions from Structural Alerts-Reference-Cited by-同舟云学术

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Confidence in Inactive and Active Predictions from Structural Alerts

Published:2020-12-09 Issue:12 Volume:33 Page:3010-3022
ISSN:0893-228X
Container-title:Chemical Research in Toxicology
language:en
Short-container-title:Chem. Res. Toxicol.

Author:

Wedlake Andrew J.¹^ORCID,Allen Timothy E. H.¹²^ORCID,Goodman Jonathan M.¹^ORCID,Gutsell Steve³,Kukic Predrag³,Russell Paul J.³

Affiliation:

1. Centre for Molecular Informatics, Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, United Kingdom

2. MRC Toxicology Unit, University of Cambridge, Gleeson Building, Tennis Court Road, Cambridge CB2 1QR, United Kingdom

3. Unilever Safety and Environmental Assurance Centre, Colworth Science Park, Sharnbrook, Bedfordshire MK44 1LQ, United Kingdom

Funder

Unilever

Publisher

American Chemical Society (ACS)

Subject

Toxicology,General Medicine

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.chemrestox.0c00332

Reference38 articles.

1. Adverse outcome pathways: A conceptual framework to support ecotoxicology research and risk assessment

2. Defining Molecular Initiating Events in the Adverse Outcome Pathway Framework for Risk Assessment

3. Reducing safety-related drug attrition: the use of in vitro pharmacological profiling

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Identification of Structural Alerts by Machine Learning and Their Applications in Toxicology;Machine Learning and Deep Learning in Computational Toxicology;2023

2. The role of ‘big data’ and ‘in silico’ New Approach Methodologies (NAMs) in ending animal use – A commentary on progress;Computational Toxicology;2022-08

3. In Silico Prediction and Insights Into the Structural Basis of Drug Induced Nephrotoxicity;Frontiers in Pharmacology;2022-01-05

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