Antonio Lavecchia
Università degli Studi di Napoli Federico II, University of Catania
0000-0002-2181-8026
About
Antonio Lavecchia received his M.S. degree in Pharmacy (1992) from University of Pisa (Italy) and Ph.D. degree in Pharmaceutical Sciences (1999) with Professor Giuseppe Ronsisvalle at University of Catania (Italy). During his doctoral studies, he carried out research during one year stay in the College of Pharmacy at the University of Minnesota (USA) working with Professor Philip Portoghese. At present, he is Full Professor of Medicinal Chemistry and head of the Drug Discovery Laboratory of the Department of Pharmacy, University of Napoli Federico II. His research interests are in the field of computational drug discovery. In particular, he has developed and applied computational approaches to accelerate the discovery of drug-like compounds in several therapeutic areas, including cancer, diabetes, inflammation, infectious diseases, and other human conditions. He is the author of more than 120 publications in high-ranked journals and of 1 book chapter. He is co-inventor in 3 PCT patents, and he has delivered numerous invited lectures and seminars. Until today, its H-index is equal to 38 extracted from more than 3050 citations. In 2006, he was awarded the “Farmindustria Prize for Pharmaceutical Research”.
Employment
Employment history is unavailable.
Education
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Università degli Studi di Napoli Federico II Professor of Medicinal Chemistry2001 - Present
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University of Catania Ph.D. in Pharmaceutical Sciences1996 - 1999
Projects & Funding
Projects & funding information is unavailable.
Publications (166)
- Artificial Intelligence‐Driven Natural Product Drug Discovery: From Computational Genome Mining to Clinical Translation Save
- Explainable AI methods for drug discovery: A survey of interpretability, metrics and mechanistic insight Save
- Temperature Replica-Exchange Molecular Dynamics Reveals a Heterogeneous Recognition-Compatible Ensemble of the Laminin-Derived Peptide CDPGYIGSR Save
- AI‐Driven Synthesis in Medicinal Chemistry: Integrating Large Language Models, Robotic Automation, and Sustainability Metrics to Accelerate Drug Discovery Save
- VeGA-RX and VeGA-SCX: Controllable SMARTS-Guided Generative Transformers for Precision-Driven De Novo Drug Design Save
- Physics-inspired explainable AI for mechanistic and decision support in drug discovery Save
- In Silico Drug Design and Discovery: Big Data for Small Molecule Design—2nd Edition Save
- IMPACT Framework: Establishing Global Standards for Artificial Intelligence Implementation, Methodology, and Translation in Drug Discovery Save
- Nuclear Receptor-Targeted Therapies: Reprogramming Metabolism with TRβ, ERRα, and LXR Modulators Save
- Artificial intelligence in the development of small nucleic acid therapeutics: toward smarter and safer medicines Save