October 14, 2026 
Noon – 1 p.m. via Zoom 
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Objectives

• Understand where AI can support the drug discovery pipeline, from target identification and molecular modeling to compound prioritization.
• Identify freely available data resources and AI-enabled tools that can support drug discovery research.
• Explore practical examples of tools for protein structure prediction, molecular docking, compound databases, and AI-assisted drug discovery.
• Recognize the strengths and limitations of current AI approaches and where experimental validation remains essential.
• Identify opportunities to incorporate AI and computational tools into their own drug discovery research.

Presenter

Sally R. Ellingson, PhD 
Director, Cancer Research Informatics, Markey Cancer Center
Assistant Professor, Biomedical Informatics, College of Medicine
University of Kentucky