The eTOX data-sharing project to advance in Silico drug-induced toxicity prediction
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- dc.contributor.author Cases, Montserratca
- dc.contributor.author Briggs, Katharineca
- dc.contributor.author Steger-Hartmann, Thomasca
- dc.contributor.author Pognan, Françoisca
- dc.contributor.author Marc, Philippeca
- dc.contributor.author Kleinöder, Thomasca
- dc.contributor.author Schwab, Christof H.ca
- dc.contributor.author Pastor Maeso, Manuelca
- dc.contributor.author Wichard, Jörgca
- dc.contributor.author Sanz, Ferranca
- dc.date.accessioned 2015-06-15T07:18:35Z
- dc.date.available 2015-06-15T07:18:35Z
- dc.date.issued 2014ca
- dc.description.abstract The high-quality in vivo preclinical safety data produced by the pharmaceutical industry during drug development, which follows numerous strict guidelines, are mostly not available in the public domain. These safety data are sometimes published as a condensed summary for the few compounds that reach the market, but the majority of studies are never made public and are often difficult to access in an automated way, even sometimes within the owning company itself. It is evident from many academic and industrial examples, that useful data mining and model development requires large and representative data sets and careful curation of the collected data. In 2010, under the auspices of the Innovative Medicines Initiative, the eTOX project started with the objective of extracting and sharing preclinical study data from paper or pdf archives of toxicology departments of the 13 participating pharmaceutical companies and using such data for establishing a detailed, well-curated database, which could then serve as source for read-across approaches (early assessment of the potential toxicity of a drug candidate by comparison of similar structure and/or effects) and training of predictive models. The paper describes the efforts undertaken to allow effective data sharing intellectual property (IP) protection and set up of adequate controlled vocabularies) and to establish the database (currently with over 4000 studies contributed by the pharma companies corresponding to more than 1400 compounds). In addition, the status of predictive models building and some specific features of the eTOX predictive system (eTOXsys) are presented as decision support knowledge-based tools for drug development process at an early stage.en
- dc.description.sponsorship The research leading to these results has received support from the Innovative Medicines Initiative Joint Undertaking under grant agreement n° 115002 (eTOX), resources of which are composed of financial contribution from the European Union’s Seventh Framework Programme (FP7/2007-2013) and EFPIA companies’ in kind contributions. The authors would like to formally acknowledge the contribution to the eTOX project of all scientists and other staff involveden
- dc.format.mimetype application/pdfca
- dc.identifier.citation Cases M, Briggs K, Steger-Hartmann T, Pognan F, Marc P, Kleinoder T et al. The eTOX data-sharing project to advance in Silico drug-induced toxicity prediction. Int J Mol Sci. 2014;15(11):21136-54. DOI: 10.3390/ijms151121136ca
- dc.identifier.doi http://dx.doi.org/10.3390/ijms151121136
- dc.identifier.issn 1422-0067ca
- dc.identifier.uri http://hdl.handle.net/10230/23811
- dc.language.iso engca
- dc.publisher MDPIca
- dc.relation.ispartof International Journal of Molecular Sciences. 2014;15(11):21136-54
- dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/115002
- dc.rights © 2014 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/).en
- dc.rights.accessRights info:eu-repo/semantics/openAccessca
- dc.rights.uri http://creativecommons.org/licenses/by/4.0/
- dc.subject.keyword In silico toxicityen
- dc.subject.keyword In vitro toxicityen
- dc.subject.keyword In vivo toxicityen
- dc.subject.keyword Data sharingen
- dc.subject.keyword Data integrationen
- dc.subject.keyword Ontologiesen
- dc.subject.keyword Decision support systemen
- dc.subject.keyword Predictive modelsen
- dc.subject.keyword Read-acrossen
- dc.subject.keyword QSARen
- dc.subject.other Medicaments -- Toxicologiaca
- dc.subject.other Ontologies (Recuperació de la informació)ca
- dc.title The eTOX data-sharing project to advance in Silico drug-induced toxicity predictionen
- dc.type info:eu-repo/semantics/articleca
- dc.type.version info:eu-repo/semantics/publishedVersion