Google.org funds $2.3 million University of Toronto peptide AI database
The OpenPep project will build an open-access dataset and model predicting which peptides bind target proteins, filling a gap peptide discovery has lacked.
PR
By Priya Raman · Science Reporter
Oct 14 12:30 ETSource: EurekAlert!
The wire
- 01Google.org's AI for Science Impact Challenge awarded $2.3 million USD to a team led by Joseph Brown at the Leslie Dan Faculty of Pharmacy to build OpenPep, an open peptide-binding database and AI model.
- 02Brown says peptide discovery remains slow because binding data sits scattered across labs and companies, with no AlphaFold-equivalent resource; he notes 8% of newly approved drugs are peptides.
- 03Co-investigators include Keith Pardee, Phil Kim and ProteinQure's Chris Ing. No timeline for a public data release or model was given.
From the source
Read at eurekalert.orgGoogle.org awards $2.3 million USD to University of Toronto researchers to advance AI-powered peptide drug discovery
image: From left: Chris Ing, co-founder ProteinQure; Joseph Brown, Assistant Professor, Leslie Dan Faculty of Pharmacy, University of Toronto; Philip Kim, Professor, Department of Molecular Genetics, University of Toronto; Keith Pardee, Associate Professor, Leslie Dan Faculty of Pharmacy, University of Toronto
