Bioinformatics and Molecular Modeling
A.Y. 2023/2024
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.
- 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.
- 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.
Lesson period: Second semester
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
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
Data modeling in biotechnology
BIO/10 - BIOCHEMISTRY
CHIM/06 - ORGANIC CHEMISTRY
CHIM/08 - PHARMACEUTICAL CHEMISTRY
CHIM/06 - ORGANIC CHEMISTRY
CHIM/08 - PHARMACEUTICAL CHEMISTRY
Lessons: 24 hours
Professor:
Mazzolari Angelica
Molecular mechanics and dynamics
BIO/10 - BIOCHEMISTRY
CHIM/06 - ORGANIC CHEMISTRY
CHIM/08 - PHARMACEUTICAL CHEMISTRY
CHIM/06 - ORGANIC CHEMISTRY
CHIM/08 - PHARMACEUTICAL CHEMISTRY
Lessons: 16 hours
Professor:
Contini Alessandro
Structural bioinformatics
BIO/10 - BIOCHEMISTRY
CHIM/06 - ORGANIC CHEMISTRY
CHIM/08 - PHARMACEUTICAL CHEMISTRY
CHIM/06 - ORGANIC CHEMISTRY
CHIM/08 - PHARMACEUTICAL CHEMISTRY
Lessons: 24 hours
Professor:
Eberini Ivano
Educational website(s)
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