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Bioinformatics

Descrizione

COURSE OBJECTIVES

Knowledge of basic principles of genome analysis Knowledge of basic principles of protein sequence analysis Building of 3D structures of proteins Docking simulations of drug binding to molecular targets.

 

COURSE DESCRIPTION

We deal with the most commonly used algorithms in biological applications. The first part of the course is dedicated to data mining algorithms and other classification methods such as markov models and other learning methods. We explore how to use such algorithms to analyse large amount of data (e.g., genome analysis) and to build 3D structures of proteins (e.g., using homology modeling). The last part of the course is focused on molecular docking algorithms and high throughput screening protocols used in virtual screening calculations.

 

LEARNING METHODS

Problem-Based Learning and Team-Based Learning Teaching method: frontal lectures + tutorial sessions

 

EXAMINATION INFORMATION
The course will be evaluated through assignments and a final project

 

REFERENCES
Notes and slides from the course Suggested (not mandatory) book: Essential Bioinformatics by Jin Xiong

Persone

 

Limongelli V.

Docente titolare del corso

Informazioni aggiuntive

Semestre
Autunnale
Anno accademico
2021-2022
ECTS
6
Lingua
Inglese
Offerta formativa
Master of Science in Artificial Intelligence, Corso a scelta, Corso, 1° anno
Master of Science in Artificial Intelligence, Corso a scelta, Corso, 2° anno
Master of Science in Computational Science, Corso a scelta, 1° anno
Master of Science in Computational Science, Foundation course, 2° anno
Dottorato in Scienze informatiche, Corso a scelta, Corso, 1° anno (4 ECTS)
Dottorato in Scienze informatiche, Corso a scelta, Corso, 2° anno (4 ECTS)