- Docente: Luisa Iommarini
- Credits: 6
- SSD: BIO/10
- Language: English
- Teaching Mode: Traditional lectures
- Campus: Bologna
- Corso: Second cycle degree programme (LM) in Pharmaceutical Biotechnology (cod. 9068)
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from Mar 01, 2023 to May 30, 2023
Learning outcomes
At the end of the course, the student has knowledge on the networks describing interactions among biological molecules (proteins, nucleic acids, metabolites) and on experimental approaches for their determination on a large scale. The student skills include specific database querying and the usage of analytical tools dedicated to interaction data. S/he also acquires knowledge on computational methods for modeling and analyzing the complexity of interaction networks in the context of cellular functions. The student is able to critically apply knowledge and skills in practical contexts, including the functional characterization of genes and gene sets and the interpretation of the effect of genetic variations on the functions of the molecular network.
Course contents
- General features and types of protein-protein interactions
- Experimental methods for the determination of protein-protein interactions and proteins-nucleic acids
- Inference methods for protein-protein interactions
- Database of protein-protein interactions, metabolic pathways and signaling pathways
- Conserved structural domains that mediate protein-protein or protein-nucleic acid interactions
- Structural analysis of these domains through molecular graphics software
- Analyses of biological networks
Readings/Bibliography
Articles and reviews will be provided during the lessons, provided in PDF format, undisclosed, and will be available to students on Virtuale (https://virtuale.unibo.it/)
Teaching methods
Lectures supported by slides
Exercise in biochemistry laboratory.
ATTENTION: "In view of the types of activities and teaching methods adopted, attendance of this training activity requires all students to complete Modules 1 and 2 in e-learning mode [https://www.unibo.it/it/servizi-e-opportunita/salute-e-assistenza/salute-e-sicurezza/sicurezza-e-salute-nei-luoghi-di-studio-e-tirocinio] and to participate in Module 3 of specific training on health and safety in the workplace. Information on the dates and procedures for attending Module 3 can be found in the appropriate section of the course website".
Exercises with molecular graphics software (Chimera) and of biological network analyses (Cytoscape). Softwares are freely downloadable and run on Windows, MacOS and Linux.
Assessment methods
Learning assessment will take place through WRITTEN exam with both multiple choice and essay questions. Students are required to communicate their intention to accept the grade of STRUCTURAL BASES OF BIOLOGICAL NETWORKS by email. If accepted, the grade of STRUCTURAL BASES OF BIOLOGICAL NETWORKS will be considered valid for one calendar year and will be mediated with the grade of MOLECULAR SIGNALLING TRASDUCTION. Prof. Porcelli will record the final grade.
Teaching tools
Videoprojector, PC, internet. Lecture slides will be available.
Office hours
See the website of Luisa Iommarini
SDGs
This teaching activity contributes to the achievement of the Sustainable Development Goals of the UN 2030 Agenda.