Learning objectives
KNOWLEDGE AND UNDERSTANDING
- Understanding fundamentals of statistics useful for deriving QSAR models
- Knowledge of basics concepts of molecular modeling
- Knowledge of the basic principles of organic synthesis applied to medicinal chemistry and the main techniques used in the synthesis of bioactive compounds.
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
- Ability to apply the knowledge and the understanding acquired for the solution of the main problems in the field of synthesis and purification of bioactive compounds
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 is divided in two modules. Drug Design and Drug Synthesis.
The course of Drug Design 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.
Lectures of Drug Synthesis will deal with organic synthesis applied to the medicinal chemistry, with particular attention to innovative techniques and green chemistry. The course also provides practical exercises carried on in laboratory regarding the synthesis and purification of small bioactive compounds.
Full programme
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Bibliography
M.Mabilia. Chemoinformatica. Springer.
GH Grant, WG Richards. Computational Chemistry. Oxford Chemistry Primers.
I. VOGEL “Chimica Organica Pratica”, Casa Editrice Ambrosiana, Milano.
D. PAVIA, G. LAMPMAN, G. KRIZ “Il Laboratorio di Chimica Organica”, Ed. Italiana a cura di P. Grunanger, D. Pocar; Sorbona.
M. D’ISCHIA “La Chimica Organica in Laboratorio”, Piccin.
Teaching methods
In both course modules, lessons will be delivered in presence, with students attending the lesson upon seat booking previously performed using the app provided by UniPR. Lessons can be attended also online, via Teams software. 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).
Both modules are supported by laboratory exercises. These exercises will be individual and practical. Laboratory of Drug Synthesis will give the opportunity to each student to approach independently the solution to different syntheses and purifications of compounds of pharmaceutical interest.
Laboratory of Drug Design will be based on the application of multivariate analysis and molecular modeling to investigate SAR data
Assessment methods and criteria
Oral examination. Questions will be on both theory discussed during lessons and training in the synthetic laboratory. 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
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2030 agenda goals for sustainable development
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