Joint Virtual Special Issue on Computational Toxicology-Reference-Cited by-同舟云学术

Joint Virtual Special Issue on Computational Toxicology

Published:2020-02-26 Issue:3 Volume:60 Page:1069-1071
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Tetko Igor V.¹,Tropsha Alexander²

Affiliation:

1. Institute of Structural Biology, Helmholtz Zentrum Munchen Deutsches Forschungszentrum fur Umwelt und Gesundheit, Munich 27599, Germany

2. UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, United States

Publisher

American Chemical Society (ACS)

Subject

Library and Information Sciences,Computer Science Applications,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jcim.0c00140

Reference22 articles.

1. Computational Toxicology: Realizing the Promise of the Toxicity Testing in the 21st Century

2. MultiCASE. Powerful and reliable software for in silico safety assessment, http://www.multicase.com/products (6 February 2020).

3. In Silico Prediction of Chemical Toxicity for Drug Design Using Machine Learning Methods and Structural Alerts

4. ECHA. Non-animal methods now a default for skin sensitisation–submit correct information, https://echa.europa.eu/-/non-animal-methods-now-a-default-for-skin-sensitisation-submit-correct-information (accessed 6 February 2020).

5. EPA. EPA Administrator Wheeler Signs Memo to Reduce Animal Testing, Awards $4.25 Million to Advance Research on Alternative Methods to Animal Testing, https://www.epa.gov/newsreleases/administrator-wheeler-signs-memo-reduce-animal-testing-awards-425-million-advance. (6 February 2020).

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