College of Pharmacy

Xie Lab (Evolutionary Catalysis)

Led by Wenjun Xie · Medicinal Chemistry

Auto-generated from UF undergraduate research symposium abstractsMentored undergrads in Spring 2025

What we study

The lab uses AI, computer models, and experiments to study how enzyme sequences affect their function, aiming to improve enzymes that have evolved over billions of years. They combine computational and wet-lab work.

What working here is like

  • Wet lab
  • Computational
  • Cells in a dish
  • Coding required
Projects
2
Papers
5

Current projects

Decoding Enzyme Sequence-Activity Relationships via Generative AI for Rational Enzyme Design

Using AI to predict how mutations affect enzyme function and improve them.

Evaluating Generative Models for Bioluminescent Enzyme Engineering

The lab tests computer models that predict useful mutations for the firefly luciferase enzyme. Students generate 25 mutations, create mutant plasmids, express the proteins, and measure activity, stability, and light color with a plate reader.

From the Spring 2025 UF Undergraduate Research Symposium · abstract book, p. 275

Summaries are written by AI in plain language from public symposium abstracts and may be imperfect.

Recent papers, explained

Show 3 more papers

Plain-language summaries are AI-written and reviewed by us; check the paper for details.

How to reach out

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Open positions

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Xie Lab (Evolutionary Catalysis) · Wenjun Xie | JoinLattice