Improving the prediction of organism-level toxicity through integration of chemical, protein target and cytotoxicity qHTS data-Reference-Cited by-同舟云学术

Improving the prediction of organism-level toxicity through integration of chemical, protein target and cytotoxicity qHTS data

Published:2016 Issue:3 Volume:5 Page:883-894
ISSN:2045-452X
Container-title:Toxicology Research
language:en
Short-container-title:Toxicol. Res.

Author:

Allen Chad H. G.¹²³⁴^ORCID,Koutsoukas Alexios¹²³⁴,Cortés-Ciriano Isidro⁵⁶⁷⁸⁹,Murrell Daniel S.¹²³⁴,Malliavin Thérèse E.⁵⁶⁷⁸⁹,Glen Robert C.¹²³⁴¹⁰,Bender Andreas¹²³⁴

Affiliation:

1. Centre for Molecular Informatics

2. Department of Chemistry

3. Cambridge CB2 1EW

4. UK

5. Unité de Bioinformatique Structurale

6. Institut Pasteur and CNRS UMR 3528

7. Structural Biology and Chemistry Department

8. Paris

9. France

10. Department of Surgery and Cancer

Abstract

Using three descriptor domains – encoding complementary bioactivity data – enhances the predictive power, applicability, and interpretability of rat acute-toxicity classifiers.

Funder

Unilever

Institut Pasteur

Publisher

Oxford University Press (OUP)

Subject

Health, Toxicology and Mutagenesis,Toxicology

Link

http://pubs.rsc.org/en/content/articlepdf/2016/TX/C5TX00406C

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