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 |
|---|
| 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 following| Modules | Credits | TAF | SSD |
|---|
| 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.
Functional proteomics (2018/2019)
Teaching code
4S003659
Teacher
Coordinator
Credits
6
Language
English
Scientific Disciplinary Sector (SSD)
CHIM/01 - ANALYTICAL CHEMISTRY
Period
I semestre dal Oct 1, 2018 al Jan 31, 2019.
Learning outcomes
The course aims at furnishing the theoretical and technological basis to approach the study of protein functions.
The course integrates proteomic strategies, target identification, biochemical interaction analysis, protein arrays, informatics-based interaction prediction to address the investigation of the proteinogenic changes that underlie the disease pathomechanisms, with examples based on selected diseases.
Program
Characteristics of protein, proteomes and proteomics
Proteomic platforms
Bioinformatic interacting networks
Protein arrays
Imaging SPR
Native MS analysis
Protein enrichment methods
Biochemical approaches to protein protein interaction
Identification of new therapeutic targets in breast cancer
All the supporting material (slides and research papers) will be found on the online platform.
| Author | Title | Publishing house | Year | ISBN | Notes |
|---|---|---|---|---|---|
| Peter Atkins, Julio de Paula, James Keeler | Physical Chemistry (Edizione 11) | Oxford University Press | 2018 | 9780198769866 | |
| Wilson, Walker | Principles and Techniques of Biochemistry and Molecular Biology | Cambridge University Press | 2010 | ||
| Ciborowski P. and Silberring J. | Proteomic profiling and analytical chemistry: the crossroads. | Elsevier | 2013 | 978-0-444-59378-8 |
Examination Methods
The exam aims at evaluating through a 2 hours written test, composed by open questions, the knowledge gained by the student over both the theory and the methodology in the field of functional proteomic investigations.
