Grants and Contributions:

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Title:

Development of novel AI tools for high-throughput peptide discovery by integration with fluidics.

Agreement Number:

1026031

Agreement Value:

$258,500.00

Agreement Date:

Dec 4, 2024 - Mar 31, 2026

Description:

AI-enabled drug discovery has led to the rapid discovery of novel drug candidates and sparked significant investment in specialized drug companies in Canada and around the world. However, one important limitation of these proprietary platforms is they require large training datasets that are labor intensive to produce, and computationally expensive to analyze. This project will develop a self-driving lab (SDL) to develop a machine-learning (ML) algorithm that integrates experimental constraints directly into generative models as well as an orchestrator tool to control experiments performed and refine hypotheses tested. This approach not only streamlines the discovery process but also enhances the diversity and quality of candidates generated. The project team anticipates accelerated discovery by significantly reducing the time required to identify promising peptide drug candidates through automated, intelligent experimental design. This will lead to innovative therapeutics, as AI-driven hypothesis generation to discover peptides with unprecedented therapeutic potential.

Organization:

National Research Council Canada

Expected Results:

In the short term, anticipated outcomes will be strengthened collaborations across industry, academia, and government to support research excellence. In the medium term, anticipated outcomes will be the development of new and potentially disruptive technologies with collaborators. In the long term, find collaborative solutions to public policy challenges and create stronger innovation systems.

Location:

Toronto, Ontario, CA M5S 1S8

Reference Number:

172-2024-2025-Q4-1026031

Agreement Type:

Grant

Report Type:

Grants and Contributions

Recipient Business Number:

108162330

Recipient Type:

Academia

Recipient's Legal Name:

The Governing Council of the University of Toronto

Federal Riding Name:

University--Rosedale

Federal Riding Number:

35112

Program:

Collaborative Science, Technology and Innovation Program - Collaborative R&D Initiatives

Program Purpose:

Collaborate on multiparty research and development programs to catalyze transformative, high-risk, high-reward research with the potential for game-changing scientific discoveries and technological breakthroughs in priority areas.

NAICS Code:

541710