Natural products in antiparasitic drug discovery: experimental and computational approaches

Description. Natural products and their (semi)synthetic derivatives have played a significant role in the discovery of antiparasitic drugs. Plants and marine organisms have been identified to be sources for the isolation and identification of natural products with very high degree of chemical diversity, making them a generous source of hit structures for drug discovery. The identification of new hits as well as the subsequent hit to lead optimization process rely on both computational and experimental approaches. The focus of this training school will be to explore the principles underlying

i) methods for isolation and structural characterization of antiparasitic metabolites from plants and marine organisms,

ii) in silico methods for hit identification and optimization, and

iii) green synthetic approaches for structural optimization. A combination of lectures and practical work sessions will provide an engaging experience and help the participants to prepare for playing a leading role in the future research efforts in this field.

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IMPORTANT!

You are invited to submit your filled Application Form (download it here) together with your short CV (no longer than one page) and an endorsement letter from the supervisor on institutional head paper by 15/05/2024 at the following address: Prof. Marco Persico (marco.persico@unina.it). Successful applicants will need to create an e-COST account ( https://e-services.cost.eu) and will receive an official invitation.