Computer-Assisted Drug Discovery
Discovery and optimization of therapeutic candidates for neglected tropical diseases, emerging viral threats and cancer through virtual screening, docking, QSAR models and molecular dynamics.
Four research fronts, a collaborative institutional network and the LabMol research areas brought together in one dedicated science page.
LabMol’s research connects molecular modeling, artificial intelligence and experimental validation across four strategic fronts.
Discovery and optimization of therapeutic candidates for neglected tropical diseases, emerging viral threats and cancer through virtual screening, docking, QSAR models and molecular dynamics.
AI-driven QSAR/QSPR models integrated with experimental data to predict pharmacokinetic and toxicological properties of chemical compounds.
Bioinformatics, genome analysis and homology modeling applied to the identification of new targets and molecules for chemical and biological control.
Structure-Odor Relationships, olfactory AI and virtual reality applied to molecular interaction and health innovation.
LabMol features a robust computing infrastructure made up of 12 dedicated workstations named after pioneering scientists. The tiered structure below summarizes the high-performance resources that accelerate molecular modeling, data processing, and immersive scientific research.
Pinnacle processing units built for complex molecular dynamics simulations, large-scale AI model training, and heavy render workflows.
Robust multi-core systems optimized for high-throughput virtual screening, descriptor calculations, and intermediate dataset processing.
Multi-user stations supporting routine bioinformatics tasks, administrative tasks, and undergraduate research training.
The foundation of our predictive modeling and cheminformatics research, structured in continuous stages of machine learning and statistical validation.
LabMol is connected to strategic research centers, funding agencies and institutional partners that strengthen its scientific, technological and translational impact.
Come join the LabMol team! We're also seeking partnerships and collaborations on innovative projects and are available to discuss and answer your questions. Get in touch with us!