University of Toronto builds OpenPep AI database for peptide binding
Google.org is funding the open-access effort with US$2.3 million, aiming to fill the data gap that keeps peptide discovery experiment-bound.
PR
By Priya Raman · Science Reporter
Oct 16 15:55 ETSource: University of Toronto
The wire
- 01A team led by Joseph Brown at U of T's Leslie Dan Faculty of Pharmacy is building OpenPep, an open database and AI model predicting which peptides bind target proteins, with US$2.3 million from Google.org.
- 02Peptide discovery lacks an AlphaFold-style shared resource, with binding data scattered across labs and companies; Brown notes eight per cent of newly approved drugs are peptides.
- 03Co-investigators include Keith Pardee, Philip Kim and ProteinQure CSO Chris Ing. No timeline for a public release or validation data has been announced.
From the source
Read at utoronto.caAI-powered OpenPep platform to accelerate peptide drug discovery
From left: researchers Chris Ing, Joseph Brown, Philip Kim and Keith Pardee review data on a computer screen in the lab (photo by Steve Southon)
