Turbocharging Protein Engineering with AI

October 9, 2024 • by Marc Airhart and Anita Shiva

Biotech advances from UT’s new Deep Proteins group are changing the game with help from artificial intelligence.

Three people stand silhouetted  in front of a wall-sized video display that shows several large colorful illustrations of molecules

Researchers study the three dimensional structures of molecules on a wall-sized video display at the TACC Visualization Lab.


A portrait of a young man with a beard

Danny Diaz co-leads the Deep Proteins group, a team based in UT Austin’s Institute for Foundations of Machine Learning (IFML), which is funded by the National Science Foundation.

A colorful ribbon with elaborate twirls and twists represents the three dimensional shape of a molecule

The three dimensional structure of an enzyme originally derived from plants and used as an Alzheimer's drug that has been re-engineered to produce at higher yields and have higher catalytic activity.

A scientist in a white lab coat stands at a lab bench and pours a clear liquid into a glass jar

A researcher in the lab of structural biologist and vaccine designer Jason McLellan. Credit: Vivian Abagiu.

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