LABORATORY OF DRUG DESIGN
cod. 1004497

Academic year 2018/19
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

KNOWLEDGE AND UNDERSTANDING
• Understanding fundamentals of statistics useful for deriving QSAR models
• Knowledge of basics concepts of molecular modeling
APPLYING KNOWLEDGE AND UNDERSTANDING
• Ability to assess the validity and significance of a QSAR model
• Ability to build, visualize and interact with molecular models of compounds of medicinal chemistry interest
LEARNING SKILLS
• have developed needed to face Drug Design problems with a high level of autonomy.
COMMUNICATION
• Ability to communicate orally concepts and ideas using an appropriate technical language

Prerequisites

Principles of medicinal chemistry. Basic statistics. Introductory matrix algebra.

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

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Bibliography

M.Mabilia. Chemoinformatica. Springer.
GH Grant, WG Richards. Computational Chemistry. Oxford Chemistry Primers.
Lecture notes compiled by the teacher

Teaching methods

During the lessons, basics of multivariate analysis, parametrization of physicochemical properties and molecular modeling are introduced and discussed. During training the students work in couples to the application of multivariate analysis and molecular modeling.

Assessment methods and criteria

Oral examination.
For the determination of the final mark the following descriptors are adopted:
• knowledge and understanding of the subjects (up to 12/30);
• ability to apply the knowledge (up to 10/30);
• ability to communicate the learned knowledge and skills in verbal form through the appropriate use of the techinical language (up to 8/30).

Other information

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