Using AI Approaches to Target Undruggable Cancer Targets

You’re invited to join academic, industry, and government experts as they identify research and collaboration opportunities for using artificial intelligence (AI) to target undruggable targets. Undruggable targets are those cancer-driving proteins that have eluded cancer therapies.

In this Cancer Moonshot^SM workshop, you will hear short talks and discussions on how advances in AI, high performance computing, structural biology, and cancer biology have set the stage to target these previously undruggable targets (e.g., transcription factors, intrinsically disordered proteins, and large macromolecular complexes).

There are limited in-person spots available, but unlimited virtual spaces. Register today!

Opening Session
8:30–9:45 a.m.
NCI Speaker: Dr. Warren Kibbe, NCI Deputy Director for Data Science and Strategy

Session 1
10:00–11:30 a.m.
Structural biology approaches for targeting undruggable targets

Computational Resources for AI
12:30–1:00 p.m.

Session 2
1:00–2:30 p.m.
Targeting pathways and protein complexes to overcome undruggable targets

Session 3
2:45–4:15 p.m.
Using systems approaches to overcome undruggable targets

Panel
4:15–5:15 p.m.
Collaborating across government, academia, and industry to advance AI approaches for targeting undruggable cancer targets
 

This workshop is organized by NCI, the Department of Energy, the Advanced Research Projects Agency for Health, and the U.S. Food and Drug Administration.