Understanding how proteins interact with each other offers key insights into a range of physiological and pathological processes. New knowledge on this topic is now available: the SIB CALIPHO Group and ENYO Pharma SA have worked hand-in-hand in a transnational public-private partnership (PPP) to make human protein interaction data publicly available and FAIR, through the SIB Resource neXtProt.
As part of its drug discovery activities – a domain which increasingly relies on the deciphering of the complete set of protein interactions that exist in nature – ENYO has built an expertly curated human protein interaction dataset.
Wishing to make this data available to the global research community, ENYO has collaborated with the CALIPHO Group developing the SIB Resource neXtProt, a leading human proteins knowledgebase and the reference for the HUPO Human Proteome Project (HPP), towards their integration. As a result, the 108,000 descriptions of human protein interactions curated by ENYO have appeared in the latest neXtProt data release. These high-confidence, experimentally proven protein-protein interactions cover more than 12,500 human neXtProt reference proteins.
“With this collaboration, we could make the protein-protein interaction data from ENYO easily discoverable to all, through the fantastic knowledge platform dedicated to human proteins that is neXtProt,” says Laurène Meyniel-Schicklin, co-founder of ENYO. “We are happy to contribute to enabling their use by all researchers studying and interpreting protein networks in health and disease.”
“Through this integration, the high-quality data from ENYO are not only made freely accessible, but also ‘FAIRified’,” comments Lydie Lane, co-head of the CALIPHO Group.
Indeed, thanks to neXtProt these data are now: Findable using the neXtProt semantic query tools and as exemplified by new SPARQL queries; Accessible under the CC-BY 4.0 license that applies to data in neXtProt; Interoperable with all the data contained in the knowledgebase and in other resources using the same semantic web standards; and Reusable, since the experimental methods and publications are fully documented.
“Such collaborations illustrate very well the scalability of resources such as neXtProt in integrating new layers of open knowledge,” she concludes.
