AIMS AND CONTENT

AIMS AND LEARNING OUTCOMES

The course is developed with theoretical and practical lessons. The main topics of the course are focused on the discovery and optimization of drug-like compounds. The course aims to provide a basic understanding about the medicinal chemistry strategies as well as the computational methods exploring the pharmacodynamic and pharmacokinetic profile of drug candidates.

TEACHING METHODS

The course is developed with theoretical and practical lessons (16 hours). The frontal teaching could be also carried out remotely in telematic mode due to the health emergency by COVID-19.

SYLLABUS/CONTENT

• Rational design of hit compounds
• Medicinal chemistry methods to optimize the pharmacodinamic and pharmacokinetic profile of drug candidates.
• Computational methods to manage in silico drugs and biological targets.
• Homology modeling and molecular docking techniques.
• QSAR analyses and pharmacophore searching methods.
• Virtual screening and molecular dynamic simulations: case studies.
• In silico evaluation of the bioavailability and safety profile of drugs.

RECOMMENDED READING/BIBLIOGRAPHY

• Introduzione alla Chimica Farmaceutica, Seconda Edizione – Graham L. Patrick, EDISES
• Manuale di Chimica Farmaceutica- Progettazione, meccanismo d’azione e metabolismo dei farmaci, Richard B. Silverman, Mark W. Holladay - EDRA
• Chimica Farmaceutica-I processi di scoperta dei farmaci, Erland Stevens-PICCIN
• Principi di Chimica Farmaceutica, Thomas L. Lemke, S. William Zito, Victoria F. Roche, David A. Williams - PICCIN

TEACHERS AND EXAM BOARD

Exam Board

ELEONORA RUSSO (President)

BRUNO TASSO (President)

LESSONS

LESSONS START

November - January 

Class schedule

The timetable for this course is available here: Portale EasyAcademy

EXAMS

EXAM DESCRIPTION

Oral test. Exams could be carried out remotely in telematic mode due to the health emergency by COVID19.

ASSESSMENT METHODS

The examination includes an oral test and an evaluation of the student acquired ownership of the main medicinal chemistry and computational strategies applied for the search of new drugs.

Exam schedule