Computational, Biophysical and Analytical Approaches in Drug Discovery

A.Y. 2024/2025
8
Max ECTS
64
Overall hours
SSD
CHIM/08
Language
Italian
Learning objectives
The main objective of the course is to illustrate and discuss the most important computational, biophysical and analytical approaches used in the different stages of the process of drug discovery and development. In particular, the course involves the transfer of knowledge of the most modern analytical approaches used in the research and development process and in particular: a) to identify and validate the therapeutic targets; b) to define the mechanism of action of the molecules identified with phenotypic approaches; c) to identify the target compounds; d) to characterize the molecular interactions ligand-target; e) to identify and optimize the lead compounds. The course also includes training on most innovative approaches used in industry for the discovery and development not only of small molecules but also of large molecules and phyto-derived products.
In line with its concept of professionalizing course, the course aims therefore not only to transfer to the student the most modern knowledge in the field, but also to provide the tools needed to develop a critical approach necessary to address the issues in the field of drug discovery and development.
Expected learning outcomes
At the end of the learning process the student must know the most important computational, biophysical and analytical applications used in drug discovery and development. The student must also understand the most common problems and design possible solutions applying not only the knowledge acquired during the course but also that obtained in the modules of advanced methodologies in medicinal chemistry.
Single course

This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.

Course syllabus and organization

Single session

Course currently not available
CHIM/08 - PHARMACEUTICAL CHEMISTRY - University credits: 8
Lessons: 64 hours