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FAIRplus: eTOX Case Study - Opening up toxicology data about candidate drugs

Title: FAIRplus: eTOX Case Study - Opening up toxicology data about candidate drugs
Authors: Custers, Ilse; Weitenberg, Edmar; Duyndam, Alexander; Boiten, Jan-Willem; Pérez Sitjà, Xènia; Willighagen, Egon; Ronzano, Francesco; Giessmann, Robert; Juty, Nick; Ioannidis, Vassilios; Emam, Ibrahim; Rocca-Serra, Philippe
Publisher Information: Zenodo
Publication Year: 2021
Collection: Zenodo
Subject Terms: FAIRplus; eTOX; FAIR data; Innovative Medicines Initiative; IMI2 JU; EFPIA; Findable; Accessible; Interoperable; reusable
Description: A tremendous number of new chemical entities are discarded in drug development because candidate drugs prove to be toxic, even when potential drugs show excellent efficacy. Broadly sharing toxicology knowledge would: • Lower the attrition rate in drug development • Significantly reduce animal testing • Accelerate the development of novel drugs. The IMI FAIRplus project demonstrated how the eTOX treasure trove of toxicology data could be made more Findable, Accessible, Interoperable and Reusable (FAIR) for drug development, arrived at lessons learned and developed a generic ‘recipe’ for the underlying ontology mapping.
Document Type: text
Language: unknown
Relation: https://zenodo.org/communities/fairplus/; https://zenodo.org/communities/eu/; https://zenodo.org/records/5786675; oai:zenodo.org:5786675; https://doi.org/10.5281/zenodo.5786675
DOI: 10.5281/zenodo.5786675
Availability: https://doi.org/10.5281/zenodo.5786675; https://zenodo.org/records/5786675
Rights: Creative Commons Attribution 4.0 International ; cc-by-4.0 ; https://creativecommons.org/licenses/by/4.0/legalcode
Accession Number: edsbas.113415ED
Database: BASE