معرفی
Andrea Tafi is an Associate Professor at the University of Siena, affiliated with the Department of Biotechnology, Chemistry and Pharmacy. His office and laboratory are located in the university's Scientific Campus (Polo Scientifico Universitario), where he conducts research and teaches courses including Quantitative Pharmaceutic Analysis for the Chemistry and Pharmaceutical Technologies program.
His research spans medicinal chemistry, drug design, and computational modeling, with specific focus on developing novel therapeutics through structure-activity relationship studies. Key areas include cannabinoid receptor ligands, GPCR-targeted compounds, and enzyme engineering for environmental bioremediation. Recent work integrates machine learning for pharmaceutical applications like antibody-drug conjugate optimization.
Publications demonstrate strong emphasis on:
- Rational drug design of receptor modulators (cannabinoid, prokineticin, GABA receptors)
- Computational methods including 3D-QSAR and pharmacophore modeling
- Synthetic chemistry for bioactive scaffolds
- Interdisciplinary approaches combining biotechnology, toxicology, and AI
