Liberal Arts and Sciences
Perez Lab
Led by Alberto Perez · Chemistry
What we study
The Perez Lab creates computer models that explain how biomolecules such as peptides and DNA aptamers work and how they contribute to disease. They combine artificial‑intelligence and physics‑based methods to build drug‑discovery pipelines that rank and design potential therapeutics.
What working here is like
- Computational
- Reading, writing & theory
- No organisms (data only)
- Coding required
- Project
- 1
- Papers
- 3
Current projects
Investigating the Relationship Between Dopamine-2/Dopamine-3 Binding Ratios and Extrapyramidal Symptom Incidence
The project looks at how the balance of drug binding to two brain receptors (D2 and D3) might predict side‑effects like movement problems in schizophrenia treatment. Students run computer simulations of drug‑receptor interactions.
From the Spring 2025 UF Undergraduate Research Symposium · abstract book, p. 123
Summaries are written by AI in plain language from public symposium abstracts and may be imperfect.
Recent papers, explained
- Predicting rare DNA conformations via dynamical graphical models: a case study of the B→A transition
2025 · Nucleic Acids Research
Developing models to predict how DNA switches between shapes.
- A Computational Pipeline for Accurate Prioritization of Protein‐Protein Binding Candidates in High‐Throughput Protein Libraries
2024 · Angewandte Chemie
Creating a computer workflow to rank protein‑protein interactions from large libraries.
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- Ranking Peptide Binders by Affinity with AlphaFold**
2023 · Angewandte Chemie
Using AlphaFold AI to estimate how tightly peptides bind to targets.
Plain-language summaries are AI-written and reviewed by us; check the paper for details.
How to reach out
Alberto Perez hasn't set up this page yet. You can also look them up in the UF directory (search “Alberto Perez”).