Skip to main content

Thank you for visiting You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

Legacy data sharing to improve drug safety assessment: the eTOX project


The sharing of legacy preclinical safety data among pharmaceutical companies and its integration with other information sources offers unprecedented opportunities to improve the early assessment of drug safety. Here, we discuss the experience of the eTOX project, which was established through the Innovative Medicines Initiative to explore this possibility.

This is a preview of subscription content, access via your institution

Access options

Rent or buy this article

Prices vary by article type



Prices may be subject to local taxes which are calculated during checkout


  1. Obiol-Pardo, C. et al. A multiscale simulation system for the prediction of drug-induced cardiotoxicity. J. Chem. Inf. Model. 51, 483–492 (2011).

    Article  CAS  Google Scholar 

  2. Carbonell, P. et al. Hepatotoxicity prediction by systems biology modeling of disturbed metabolic pathways using gene expression data. ALTEX 34, 219–234 (2017)10.14573/altex.1602071.

    Article  PubMed  Google Scholar 

  3. Harvey, J. et al. Management of organic impurities in small molecule medicinal products: deriving safe limits for use in early development. Regul. Toxicol. Pharmacol. 84, 116–123 (2017)10.1016/j.yrtph.2016.12.011.

    Article  CAS  PubMed  Google Scholar 

  4. Carrió, P. et al. Applicability Domain Analysis (ADAN): a robust method for assessing the reliability of drug property predictions. J. Chem. Inf. Model. 54, 1500–1511 (2014).

    Article  Google Scholar 

  5. Hewitt, M. et al. Ensuring confidence in predictions: a scheme to assess the scientific validity of in silico models. Adv. Drug Deliv. Rev. 86, 101–111 (2015)10.1016/j.addr.2015.03.005.

    Article  CAS  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations



Corresponding authors

Correspondence to Ferran Sanz or François Pognan.

Ethics declarations

Competing interests

Some of the authors are employed in the pharmaceutical industry or in small and medium-sized enterprises, as indicated in the author affliations.

Supplementary information

Supplementary information S1 (box)

eTOX-related web sites and publications (PDF 173 kb)

Related links

Related links





Rights and permissions

Reprints and Permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Sanz, F., Pognan, F., Steger-Hartmann, T. et al. Legacy data sharing to improve drug safety assessment: the eTOX project. Nat Rev Drug Discov 16, 811–812 (2017).

Download citation

  • Published:

  • Issue Date:

  • DOI:

This article is cited by


Quick links

Nature Briefing: Translational Research

Sign up for the Nature Briefing: Translational Research newsletter — top stories in biotechnology, drug discovery and pharma.

Get what matters in translational research, free to your inbox weekly. Sign up for Nature Briefing: Translational Research