Computational resources
are very valuable to integrate chemistry knowledge with
experimental biological data. This integration has become
crucial in drug discovery and development as demonstrated
by the several drugs currently on the market and in
clinical trials that have been designed with the aid
of computational methods. Working very closely with
experimental groups in synthetic chemistry and biology,
computational methods help to create models that in
turn are used to generate hypothesis and make predictions.
A major goal is to help make decisions in drug design
and discovery projects.
The research areas of Drs. Medina-Franco
and Martinez-Mayorga
include, but are not limited to:
- Chemoinformatics
- Computer Aided Drug Design (CAAD): Structure and
Ligand Based.
- Molecular Modeling
- Virtual Screening
- Quantum Chemistry
<< Drug Discovery
