معرفی
Dr. Rino Ragno is a Full Professor at the Department of Chemistry and Pharmaceutical Technology, Sapienza University of Rome. His academic career spans decades of innovation in drug design, computational chemistry, and machine learning applications for chemical-biological systems. He teaches courses like Pharmaceutical and Toxicological Chemistry I and Computational Medicinal Chemistry, accessible via elearning.uniroma1.it.
- Research focuses on small molecule design, natural product analysis, and predictive modeling
- Developed the 3D-QSAR PORTAL for molecular modeling and drug discovery
- Active in essential oil characterization for antimicrobial, anticancer, and anti-inflammatory applications
Recent publications emphasize machine learning classification models for essential oil activity prediction, anti-Bcl-2 cancer therapies, and AI-driven drug discovery. His lab employs multidisciplinary approaches combining experimental data with computational analysis to identify bioactive compounds and optimize drug candidates.
The 3D-QSAR PORTAL, a free non-profit web platform, enables conformational analysis, molecular docking, and 3D-QSAR modeling accessible across electronic devices. Current projects include essential oil-based biocides for cultural heritage conservation and nanoemulsion formulations for drug delivery systems.
