RT Journal Article
SR Electronic
T1 Literature Evidence in Open Targets – a target validation platform
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 124719
DO 10.1101/124719
A1 Şenay Kafkas
A1 Ian Dunham
A1 Johanna McEntyre
YR 2017
UL http://biorxiv.org/content/early/2017/04/06/124719.abstract
AB Background We present the Europe PMC literature component of Open Targets – a target validation platform that integrates various evidence to aid drug target identification and validation. The component identifies target-disease associations in documents and ranks the documents based on their confidence from the Europe PMC literature database, by using rules utilising expert-provided heuristic information and serves the platform regularly with the up-to-date data since December, 2015.Results Currently, there are a total number of 1168365 distinct target-disease associations text mined from >26 million PubMed abstracts and >1.2 million Open Access full text articles. Our comparative analyses on the current available evidence data in the platform revealed that 850179 of these associations are exclusively identified by literature mining.Conclusion This component helps the platform’s users by providing the most relevant literature hits for a given target and disease. The text mining evidence along with the other types of evidence can be explored visually through https://www.targetvalidation.org and all the evidence data is available for download in json format from https://www.targetvalidation.org/downloads/data.EFOExperimental Factor OntologyEurope PMCEurope PubMed CentralPMIDPubMed IdentifierCSConfidence ScoreMAPMean Average PrecisionRNARibonucleic AcidsGSKGlaxoSmithKline