Bioinformatics and Molecular Modeling

A.Y. 2024/2025
8
Max ECTS
72
Overall hours
SSD
BIO/10 CHIM/06 CHIM/08
Language
English
Learning objectives
The purpose of this course is that participants gain knowledge on and understand:
- the prediction of the principal physicochemical and structural properties of pharmacological targets and of biotechnological drugs and products;
- the accuracy of in silico approaches used in the development of biotechnological drugs and products;
- the computational strategies for modelling targets, responsible for biological activity, simulating their interaction with biotechnological drugs and their molecular recognition mechanisms at an atomistic level;
methods to predict and validate the mechanism of action of biotechnological drugs and products, with particular attention to a better rational design of experiments on animal models, according to the 3Rs principle.
Expected learning outcomes
At the end of the course, the student is expected to know:
- the application of the computational methods used in biotechnological research;
to critically evaluate:
- the pros and cons of in silico prediction approaches used for developing biotechnological drugs and products;
to gain:
- the bases for deeply understanding computational methods and results described in scientific literature;
to obtain:
a multifaceted bioinformatics knowledgebase, useful for further student's personal study of this topic.
Single course

This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.

Course syllabus and organization

Single session

Responsible
Lesson period
Second semester
BIO/10 - BIOCHEMISTRY - University credits: 3
CHIM/06 - ORGANIC CHEMISTRY - University credits: 2
CHIM/08 - PHARMACEUTICAL CHEMISTRY - University credits: 3
Single bench laboratory practical: 16 hours
Lessons: 56 hours
Professor(s)
Reception:
On Mondays, Wednesdays and Fridays from 9 to 10 am and on appointment previously taken via Microsoft Teams or email
Microsoft Teams