Drug Discovery
From target hypothesis to prioritized candidates for infectious disease.
At BioRacc
Computation in service of human health
BioRacc’s drug-discovery program integrates computational screening, structural insight, and collaborative experimental validation. We focus on pathogens and resistance mechanisms that disproportionately affect underserved communities—so discovery work is both scientifically rigorous and socially grounded.
Approaches
Methods you will see in practice
- High-throughput virtual screening and docking
- Structure-guided design against essential pathogen enzymes
- Resistance-aware prioritization of chemical matter
- Collaborative in vitro validation of top candidates
Related capabilities
Continue exploring
Molecular Dynamics Simulations
Watching proteins and ligands move—so binding hypotheses survive real motion.
Read moreGenomic Bioinformatics
Turning sequence and variation data into clearer decisions for discovery.
Read moreAI & Statistical Methods
Models and pipelines that turn complex biomedical data into clearer decisions.
Read moreSmall-Molecule Optimization
Improving potency and reducing liabilities through iterative design.
Read more
Get involved
Ready to take the next step?
Whether you are a TSU student, graduate trainee, or faculty collaborator—choose the path that fits and contact the right person.
Open to Texas Southern University students, faculty, and collaborators.