The Bioinformatics and In Silico Analyses Laboratory (BISAL) specializes in predictive and exploratory modeling using artificial intelligence (AI) and machine learning (ML), which allows for the acceleration of research and development processes and increases their efficiency.

Development of innovative and generic drugs.

We support research on new therapies with advanced technologies and exploratory modeling:

• Pharmacokinetics and pharmacodynamics (PK/PD): Creating predictive models for new active substances to optimize doses and treatment regimens.
• Quantitative structure-activity relationships (QSAR) and structure-property relationships (QSPR): Analysis of molecular properties and prediction of their biological activity.
• Bioinformatics and chemoinformatics: Designing new active compounds and analyzing large datasets.
• IVIVC and IVIVE: Correlation and extrapolation of in vitro data to effects observed in vivo for faster implementation of generics.
• Pharmacoeconomics: Analysis of the costs of introducing a drug to the market and assessment of clinical effectiveness compared to the original.
• Prediction of therapeutic efficacy: AI models integrating pharmacokinetic and pharmacodynamic data.
• Extended application: Combining structural biology with AI/ML modeling and advanced biophysical analyses.