Scheda programma d'esame
BIOINFORMATICS IN SILICO MODELS
GIULIO POLI
Academic year2022/23
CourseBIOTECHNOLOGIES AND APPLIED ARTIFICIAL INTELLIGENCE FOR HEALTH
Code001CA
Credits12
PeriodSemester 1
LanguageEnglish

ModulesAreaTypeHoursTeacher(s)
BIOINFORMATICSING-INF/05,INF/01LEZIONI48
ALESSIO BECHINI unimap
ALINA SIRBU unimap
IN SILICO MODELSCHIM/08LEZIONI56
GIULIO POLI unimap
TIZIANO TUCCINARDI unimap
Obiettivi di apprendimento
Learning outcomes
Conoscenze

 

Knowledge

The student will acquire knowledge about the computational chemistry applied to the biological and chemical field

Modalità di verifica delle conoscenze

 

Assessment criteria of knowledge

The assessment of knowledge will be the subject of the evaluation of the written/oral exam.

Capacità

 

Skills

The student who completes the course successfully will be able to demonstrate a solid knowledge of the advanced understanding of ligand-protein and protein-protein interactions. He/she will be familiar with a broad range of ligand- and structure-based computational methods and finally he/she will be able to perfom computational modeling tasks using state of the art software

Assessment criteria of skills

The student will have to answer the questions that will be proposed in the exam

Comportamenti

 

Assessment criteria of behaviors

During the lab sessions, the accuracy and precision of the activities carried out will be evaluated

Prerequisiti (conoscenze iniziali)

 

Prerequisites

Basis of biology and chemistry.

Teaching methods

Delivery: face to face

Teaching methods:

  • Lectures
  • laboratory

 

Syllabus

The course aims to provide the basic elements of in silico modeling of biological and physio-pathological systems. In particular, the course will deal with the objectives and tools for the formulation of theoretical models, the computational techniques for their simulation and for parameters identification using experimental data. Specifically, the course will focus on in silico models for protein analysis, basic in silico drug-design techniques and chemometric analyses able to support in vivo toxicity studies. The main objective is to provide the student with conceptual and operational tools that allow him/her to develop the entire modeling process for some significant biomedical applications.

Bibliografia e materiale didattico

 

Bibliography

Module "Bioinformatics": learning materials and video recordings of lectures are made available on the MS Teams group for the course (link).

Module "In-silico Models": There are not recommended readings. The teacher will supply the material during the lessons.

Altri riferimenti web

 

Additional web pages

MS Teams group for the course (link).

Updated: 29/09/2022 10:02