Welcome to the VIII Computer-Aided Drug Design International Summer School



The contribution of computational methodologies to drug discovery is no longer a matter of dispute and the major world’s pharmaceutical and biotechnology companies use computational design tools. Computer-aided drug design comprises computational methods and resources that are used to facilitate the design and discovery of new therapeutic solutions.

This summer school will cover all the main computational techniques used in drug discovery, supplying a basic level of knowledge of this research field. This course will be divided into theoretical and practical lessons and will allow the participants to independently develop their own computational studies.

At the end of the course participants will receive an Attendance Certificate with a description of the educational objectives of the Summer School and the detail of the activities. Three credits will be acknowledged by the University of Pisa according to the European Credit Transfer System (ECTS). Download Brochure.

Schematic program:

1) Visualization of a ligand-protein complex

2) Basic linux commands

3) Docking of ligands into target proteins and software reliability evaluation

4) Pharmacophore modeling

5) Molecular dynamic simulations of biological systems

6) Virtual screening calculations

7) Machine Learning in Drug Discovery

Who can apply.

The school is open to all students that possess a basic background of chemistry, biology or medicinal chemistry. Undergraduates and PhD students, post-doctoral researchers and senior researchers from Universities, Research Institutes, Clinics and Industries are welcome.

The course will be be held remotely from the Department of Pharmacy, Pisa, Italy, on July 10th – 14th 2023 for a total of 3 ECTS.

Registration will be possible from November 15th 2022 until May 31th 2023. See Registration page for details.

Participation Fee.

The fee for participation is 250 Euro.

The school can be attended both in presence (up to a maximum of 28 registrations) and remotely (up to a maximum of 28 additional students). In both cases, each student will have a connection to a PC of our computational lab (each student will have access to a single PC) for the exercises. The lessons will be delivered with the Microsoft Teams platform. The teachers will be in the classroom where all the PCs are present, so that they can support students in real time, checking and discussing the various problems with them.

Scientific Manager.

Prof. Tiziano Tuccinardi.

Organizing Members

Dr. Giulio Poli, Prof. Gabriella Ortore, Dr. Miriana Di Stefano, Dr Salvatore Galati

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