Studying at the University of Verona
Here you can find information on the organisational aspects of the Programme, lecture timetables, learning activities and useful contact details for your time at the University, from enrolment to graduation.
Study Plan
This information is intended exclusively for students already enrolled in this course.If you are a new student interested in enrolling, you can find information about the course of study on the course page:
Laurea magistrale in Molecular and Medical Biotechnology - Enrollment from 2025/2026The Study Plan includes all modules, teaching and learning activities that each student will need to undertake during their time at the University.
Please select your Study Plan based on your enrollment year.
1° Year
| Modules | Credits | TAF | SSD |
|---|
One course to be chosen among the followingOne course to be chosen among the followingTwo courses to be chosen among the followingThree courses to be chosen among the following2° Year activated in the A.Y. 2019/2020
| Modules | Credits | TAF | SSD |
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| Modules | Credits | TAF | SSD |
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One course to be chosen among the followingOne course to be chosen among the followingTwo courses to be chosen among the followingThree courses to be chosen among the following| Modules | Credits | TAF | SSD |
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| Modules | Credits | TAF | SSD |
|---|
Two courses to be chosen among the following ("Biotechnology in Neuroscience" and "Clinical proteomics" 1st and 2nd year; the other courses 2nd year only)Legend | Type of training activity (TTA)
TAF (Type of Educational Activity) All courses and activities are classified into different types of educational activities, indicated by a letter.
Systems biology (2019/2020)
Teaching code
4S003680
Academic staff
Coordinator
Credits
6
Also offered in courses:
- Systems biology of the course Master's degree in Medical Bioinformatics
Language
English
Scientific Disciplinary Sector (SSD)
MED/04 - EXPERIMENTAL MEDICINE AND PATHOPHYSIOLOGY
Period
II semestre dal Mar 2, 2020 al Jun 12, 2020.
Learning outcomes
The class will provide the students with an overview of different aspects of Systems Biology applied to life and medical science. The class will be initially focused on general aspects of Systems Biology, including the concepts of complexity, emergent properties, abstraction, mathematical modeling and biological networks. the course will provide a number of examples regarding general principles and methods typical of systems biology, data-bases and software widely used in the field. Furthermore, in the course we will introduce as propaedeutic background, some examples of complex systems in biology, including signal transduction and metabolic networks. In the second part of the course we will proceed with the description of complex systems relevant to medicine, such as the immune systems, autoimmune diseases and cancer in the context of systems biology. Several examples will be explained and extensively illustrated. Moreover, a general view of systems biology in the context of a transition toward personalized medicine will be proposed. In the context of the degree, the class will provide the necessary bases to understand the interdisciplinary nature of biomedicine and bioinformatics.
Program
General concepts - foundations:
1) Complexity: definition, origin and nature of complexity in biology
2) The “emergent properties” of biological systems: the cellular and molecular circuits
3) Science based on thesis and the deductive method; science based on experimental data the inductive method
4) Systems Biology: definition and experimental connotation of Systems Biology
5) Why Systems Biology? The reductionist approach versus the holistic approach
6) The concept of model: predict the future in biology?
7) Static models: the network abstraction and the topological properties of biological networks
8) Dynamic models and biological kinetics
Methods in Systems Biology:
9) High-performance technologies (high throughput methods)
10) Bioinformatics
11) Biological database
12) Software for systems biology
13) Contexts of Systems Biology: transcriptomics, proteomics, metabolomics, etc.
Systems Biology in practice - applications of Systems Biology to biomedical contexts:
14) Networks and diseases
15) The immune system
16) Inflammatory mechanisms
17) Cancer
18) Neurodegenerative diseases
19) Autoimmune diseases
20) Systems pharmacology and drug discovery
Teaching methods consist of frontal lessons devoted to the transmission of basic and applied notions, as well as in computer exercises with tasks that will be assigned to students in order to apply the notions learned during lessons. The exercises will be performed at the Center for Computational Biomedicine (CBMC) of the University.
| Author | Title | Publishing house | Year | ISBN | Notes |
|---|---|---|---|---|---|
| Masao Nagasaki • Ayumu Saito • Atsushi Doi Hiroshi Matsuno • Satoru Miyano | Foundations of Systems Biology | Springer | 2007 | 978-1-84882-022-7 |
Examination Methods
Written with multiple answer questions. Score will be in thirty, 18 to 30. The exam will test theoretic land applied skills useful to the study of physio-pathplogical processes, also in the context of specific examples of human pathologies.
