College of Pharmacy
Li Lab
Led by Yanjun Li · Medicinal Chemistry
What we study
The Li Lab uses AI and deep learning to design new drugs and predict molecular interactions. They focus on computational methods like deep generative modeling and geometric deep learning.
What working here is like
- Computational
- No organisms (data only)
- Coding required
- Project
- 1
- Papers
- 2
What we're looking for
“Dr. Li's lab is always seeking self-motivated Ph.D. students, postdoc associate, as well as graduate and undergraduate research assistants, who are interested in AI-driven Drug Discovery.”
Current projects
SMARTFlexDB
A database and platform for analyzing RNA structure and small-molecule interactions.
Summaries are written by AI in plain language from public symposium abstracts and may be imperfect.
Recent papers, explained
- STORM: spatial transcriptomics optimization by resolution via matrix factorization
2026 · Briefings in Bioinformatics
Improves spatial transcriptomics data using machine learning.
- SMARTFlexDB: a paired apo–holo RNA structure database and analysis platform for RNA conformational flexibility and small-molecule recognition
2026 · Nucleic Acids Research
Creates a database of RNA structures to study flexibility and small-molecule binding.
Plain-language summaries are AI-written and reviewed by us; check the paper for details.
How to reach out
Yanjun Li hasn't set up this page yet. Their UF Scholars profile lists their publications.