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Industrializing AI-powered drug discovery: lessons learned from the Patrimony computing platform.
- Source :
-
Expert opinion on drug discovery [Expert Opin Drug Discov] 2022 Aug; Vol. 17 (8), pp. 815-824. Date of Electronic Publication: 2022 Jul 10. - Publication Year :
- 2022
-
Abstract
- Introduction: As a mid-size international pharmaceutical company, we initiated 4 years ago the launch of a dedicated high-throughput computing platform supporting drug discovery. The platform named ' Patrimony' was built up on the initial predicate to capitalize on our proprietary data while leveraging public data sources in order to foster a Computational Precision Medicine approach with the power of artificial intelligence.<br />Areas Covered: Specifically, Patrimony is designed to identify novel therapeutic target candidates. With several successful use cases in immuno-inflammatory diseases, and current ongoing extension to applications to oncology and neurology, we document how this industrial computational platform has had a transformational impact on our R&D, making it more competitive, as well time and cost effective through a model-based educated selection of therapeutic targets and drug candidates.<br />Expert Opinion: We report our achievements, but also our challenges in implementing data access and governance processes, building up hardware and user interfaces, and acculturing scientists to use predictive models to inform decisions.
- Subjects :
- Humans
Precision Medicine
Artificial Intelligence
Drug Discovery
Subjects
Details
- Language :
- English
- ISSN :
- 1746-045X
- Volume :
- 17
- Issue :
- 8
- Database :
- MEDLINE
- Journal :
- Expert opinion on drug discovery
- Publication Type :
- Academic Journal
- Accession number :
- 35786124
- Full Text :
- https://doi.org/10.1080/17460441.2022.2095368