Bioinformatics and molecular modeling
A.A. 2025/2026
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.
Periodo: Secondo semestre
Modalità di valutazione: Esame
Giudizio di valutazione: voto verbalizzato in trentesimi
Corso singolo
Questo insegnamento non può essere seguito come corso singolo. Puoi trovare gli insegnamenti disponibili consultando il catalogo corsi singoli.
Course syllabus and organization
Edizione unica
Edizione non attiva
BIO/10 - BIOCHIMICA - CFU: 3
CHIM/06 - CHIMICA ORGANICA - CFU: 2
CHIM/08 - CHIMICA FARMACEUTICA - CFU: 3
CHIM/06 - CHIMICA ORGANICA - CFU: 2
CHIM/08 - CHIMICA FARMACEUTICA - CFU: 3
Esercitazioni di laboratorio a posto singolo: 16 ore
Lezioni: 56 ore
Lezioni: 56 ore