LABORATORY OF DRUG DESIGN
cod. 1004497

Academic year 2021/22
5° year of course - First semester
Professor
LODOLA Alessio
Academic discipline
Chimica farmaceutica (CHIM/08)
Field
Discipline chimiche, farmaceutiche e tecnologiche
Type of training activity
Characterising
54 hours
of face-to-face activities
5 credits
hub: PARMA
course unit
in ITALIAN

Learning objectives

The course brings the student to knowledge and comprehension of main, simple techniques of QSAR and molecular modeling. Training in computer room is based on the application of statistical data analysis to QSAR data and of molecular modeling to drug design.

Prerequisites

Principles of medicinal chemistry. Basic statistics.

Course unit content

The course introduces to the application of models for the analysis of structure-activity relationships, with focus on QSAR and molecular modeling. Training in the computer room is included.

Full programme

Bibliography

M.Mabilia. Chemoinformatica. Springer.
GH Grant, WG Richards. Computational Chemistry. Oxford Chemistry Primers.

Teaching methods

Lessons will be delivered in presence. The student is expected to study using the textbooks and the material provided through the ELLY platform (slides and supplementary material). The teacher is available for explanations and discussion of the course contents at the end of the lesson, or by appointment (e-mail request).
During the lessons, basics of multivariate analysis, parametrization of physicochemical properties and molecular modeling are introduced and discussed. During training the students will work on the application of multivariate analysis and molecular modeling to the study of SAR data

Assessment methods and criteria

Oral examination. Questions will be on both theory discussed during lessons and training in computer room. Exercises performed during the course will be considered for final evaluation.
The ability of the student to apply the acquired knowledge is also evaluated through connections among topics and personal comments/evaluations related to the program content. Preparation is considered sufficient if the student proves knowledge and understanding of the basic aspects of each topic and is able to apply this knowledge to a simple discussion.
Online examination of students will be performed though MS Teams software ((http://selma.unipr.it for user guide). Online exams will be structured in the same way as those in presence.

Other information