Wenjun Xie

Wenjun Xie, Ph.D.

Assistant Professor

Department: Medicinal Chemistry
Business Phone: (352) 273-8846
Business Email: wenjunxie@ufl.edu

About Wenjun Xie

Wenjun Xie is currently an Assistant Professor of Medicinal Chemistry. He holds B.S. in chemistry and statistics, as well as a Ph.D. in physical chemistry, both awarded by Peking University. His postdoctoral endeavors were conducted at MIT and USC, the latter in collaboration with Dr. Arieh Warshel (Nobel Laureate). Dr. Xie’s research spans enzymology, enzyme engineering, computational chemistry, AI-driven drug discovery, gene editing and natural product biosynthesis.

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Teaching Profile

Courses Taught
2024-2025
PHA6467C Drug Design II
2024-2025
PHA6935 Selected Topics in Pharmacy
2024
PHA5439 Prin Med Chem-Pcol I
2024
PHA6910 Supervised Research

Research Profile

The Xie Lab is committed to exploring the mechanisms through which nature evolves efficient catalysts, with the goal of transforming enzyme engineering and drug discovery. We utilize a comprehensive set of tools that includes artificial intelligence, computational chemistry, and biochemistry assays. Our research benefits from the collaborative synergy between computational scientists, life scientists, and engineers, creating a welcoming and cooperative atmosphere for research. Our lab focuses on three main areas: (1) the evolution-catalysis relationship; (2) rational enzyme engineering; and (3) AI-driven drug discovery. For additional details, please visit our group’s website at https://evocatalysis.github.io.

Publications

Academic Articles
2025
Biochemical and Computational Characterization of Haloalkane Dehalogenase Variants Designed by Generative AI: Accelerating the SN2 Step
Journal of the American Chemical Society. [DOI] 10.1021/jacs.4c15551.
2023
Harnessing generative AI to decode enzyme catalysis and evolution for enhanced engineering.
National science review. 10(12) [DOI] 10.1093/nsr/nwad331. [PMID] 38299119.
2020
Characterizing chromatin folding coordinate and landscape with deep learning
PLOS Computational Biology. 16(9) [DOI] 10.1371/journal.pcbi.1008262. [PMID] 32986691.

Grants

Dec 2024 ACTIVE
Designing Highly Efficient Enzymes with Physics-Based Features Powered by Generative AI and Molecular Simulations
Role: Principal Investigator
Funding: US DEPT OF DEFENSE ADV RES PROJ AGCY

Education

Postdoctoral Associate
2020-2023 · University of Southern California
Postdoctoral Associate
2017-2020 · Massachusetts Institute of Technology
Ph.D. in Physical Chemistry
2017 · Peking University
B.S. in Chemistry and Statistics
2012 · Peking University

Contact Details

Phones:
Business:
(352) 273-8846
Emails:
Business:
wenjunxie@ufl.edu
Addresses:
Business Mailing:
PO Box 100485
GAINESVILLE FL 32610
Business Street:
MSB P6-29
1345 Center Drive
GAINESVILLE FL 32610