AI is revolutionizing drug discovery by accelerating testing and sifting through petabytes of data for links between diseases

AI is revolutionizing drug discovery by accelerating testing and sifting through petabytes of data for links between diseases

By Jeffrey Skolnick
Publication Date: 2026-04-07 13:03:00

In December, The Conversation hosted a webinar about the revolutionary role of AI in drug discovery and development.

Science and Technology Editor Eric Smalley interviewed Jeffrey Skolnick, a distinguished computational systems biology scientist at the Georgia Institute of Technology, and Benjamin P. Brown, assistant professor of pharmacology at Vanderbilt University.

Skolnick has developed AI-based approaches to predict protein structure and function, which can aid in drug development and finding off-label uses of existing drugs. Brown’s lab is working to develop new computer models that will make drug discovery faster and more reliable. Below you will find a shortened and edited version of the interview.

Let’s start with the big picture. How is AI changing biomedical research and drug development and what potential are we talking about?

Skolnick: The potential is potentially very great. One of the frustrating things about drug discovery is that the people who do it…