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.

A.A. 2018/2019

Academic calendar

The academic calendar shows the deadlines and scheduled events that are relevant to students, teaching and technical-administrative staff of the University. Public holidays and University closures are also indicated. The academic year normally begins on 1 October each year and ends on 30 September of the following year.

Academic calendar

Course calendar

The Academic Calendar sets out the degree programme lecture and exam timetables, as well as the relevant university closure dates..

Definition of lesson periods
Period From To
I semestre Oct 1, 2018 Jan 31, 2019
II semestre Mar 4, 2019 Jun 14, 2019
Exam sessions
Session From To
Sessione invernale d'esame Feb 1, 2019 Feb 28, 2019
Sessione estiva d'esame Jun 17, 2019 Jul 31, 2019
Sessione autunnale d'esame Sep 2, 2019 Sep 30, 2019
Degree sessions
Session From To
Sessione estiva Jul 12, 2019 Jul 12, 2019
Sessione autunnale Oct 18, 2019 Oct 18, 2019
Sessione invernale Mar 13, 2020 Mar 13, 2020
Holidays
Period From To
Sospensione dell'attività didattica Nov 2, 2018 Nov 3, 2018
Vacanze di Natale Dec 24, 2018 Jan 6, 2019
Vacanze di Pasqua Apr 19, 2019 Apr 28, 2019
Vacanze estive Aug 5, 2019 Aug 18, 2019

Exam calendar

Exam dates and rounds are managed by the relevant Science and Engineering Teaching and Student Services Unit.
To view all the exam sessions available, please use the Exam dashboard on ESSE3.
If you forgot your login details or have problems logging in, please contact the relevant IT HelpDesk, or check the login details recovery web page.

Exam calendar

Should you have any doubts or questions, please check the Enrolment FAQs

Academic staff

A B C D F G H K L M R S T V

Assfalg Michael

michael.assfalg@univr.it +39 045 802 7949

Astegno Alessandra

alessandra.astegno@univr.it 045802 7955

Avesani Linda

linda.avesani@univr.it +39 045 802 7839

Benini Anna

anna.benini@univr.it 045 8027603

Boaretti Marzia

marzia.boaretti@univr.it 045 8027661

Boscaini Maurizio

maurizio.boscaini@univr.it

Bossi Alessandra Maria

alessandramaria.bossi@univr.it 045 802 7946 (Studio) - 045 802 7833 (Laboratorio)

Cecconi Daniela

daniela.cecconi@univr.it +39 045 802 7056; Lab: +39 045 802 7087

Constantin Gabriela

gabriela.constantin@univr.it 045-8027102

Corbo Vincenzo

vincenzo.corbo@univr.it + 39 0458124830

Decimo Ilaria

Ilaria.decimo@univr.it 045 8027509

Delledonne Massimo

massimo.delledonne@univr.it 045 802 7962; Lab: 045 802 7058

Dominici Paola

paola.dominici@univr.it 045 802 7966; Lab: 045 802 7956-7086

Fabene Paolo

paolo.fabene@univr.it 0458027267

Giorgetti Alejandro

alejandro.giorgetti@univr.it 045 802 7982

Gottardo Rossella

rossella.gottardo@univr.it 045 8124247

Krampera Mauro

mauro.krampera@univr.it 0458124034

Laudanna Carlo

carlo.laudanna@univr.it 045-8027689

Liptak Zsuzsanna

zsuzsanna.liptak@univr.it +39 045 802 7032

Lleo'Fernandez Maria Del Mar

maria.lleo@univr.it 045 8027194

Malerba Giovanni

giovanni.malerba@univr.it 045/8027685

Mazzariol Annarita

annarita.mazzariol@univr.it 045 8027690

Montagnana Martina

martina.montagnana@univr.it +39 045 812 6698

Monti Francesca

francesca.monti@univr.it 045 802 7910

Rossato Marzia

marzia.rossato@univr.it +39 045 802 7800

Signoretto Caterina

caterina.signoretto@univr.it 045 802 7195

Tagliaro Franco

franco.tagliaro@univr.it 045 8124618-045 8124246

Turco Alberto

alberto.turco@univr.it 0458027189

Turrina Stefania

stefania.turrina@univr.it 045/8027622

Vitulo Nicola

nicola.vitulo@univr.it 0458027982

Study Plan

The 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 enrolment year.

ModulesCreditsTAFSSD
One course to be chosen among the following
One course to be chosen among the following
Two courses to be chosen among the following
ModulesCreditsTAFSSD
Training
2
F
-
Final exam
40
E
-

1° Year

ModulesCreditsTAFSSD
One course to be chosen among the following
One course to be chosen among the following
Two courses to be chosen among the following

2° Year

ModulesCreditsTAFSSD
Training
2
F
-
Final exam
40
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°Two courses to be chosen among the following ("Biotechnology in Neuroscience" and "Clinical proteomics" 1st and 2nd year; the other courses 2nd year only)
6
C
(MED/04)

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.




SPlacements in companies, public or private institutions and professional associations

Teaching code

4S003669

Credits

6

Coordinatore

Alejandro Giorgetti

Scientific Disciplinary Sector (SSD)

BIO/10 - BIOCHEMISTRY

Language

English

The teaching is organized as follows:

a [turno 1]

Credits

1

Period

II semestre

Academic staff

Alessandra Astegno

a [turno 2]

Credits

1

Period

II semestre

Academic staff

Alessandra Astegno

a [turno 3]

Credits

1

Period

II semestre

Academic staff

Alessandra Astegno

b

Credits

1

Period

II semestre

Academic staff

Alejandro Giorgetti

c [turno 1]

Credits

1

Period

II semestre

Academic staff

Daniela Cecconi

c [turno 2]

Credits

1

Period

II semestre

Academic staff

Daniela Cecconi

c [turno 3]

Credits

1

Period

II semestre

Academic staff

Daniela Cecconi

d [turno 1]

Credits

2

Period

II semestre

Academic staff

Alessandra Maria Bossi

d [turno 2]

Credits

2

Period

II semestre

Academic staff

Alessandra Maria Bossi

d [turno 3]

Credits

2

Period

II semestre

Academic staff

Alessandra Maria Bossi

e

Credits

1

Period

II semestre

Academic staff

Marzia Rossato

Learning outcomes

The course is divided into 5 interdisciplinary laboratory modules focused on a topic of biological relevance. The main purpose of the course is to offer the student tools to focus on the problem, by using different highly complementary techniques.
The GENETICS module aims to provide expertise on experimental approaches and bioinformatics analysis necessary to identify genetic variants associated with specific pathological conditions and their validation.
The module of PROTEIN ENGINEERING aims to provide to the students with specific information on the principles and techniques used in protein engineering, with particular reference to the production of recombinant proteins in heterologous systems (construction and expression of foreign gene in prokaryotic and eukaryotic host cell).
The BIOINFORMATICS module aims to introduce the computational methods used today to predict the effect of variants associated with diseases on the structure/function of proteins. At the end of the course, the student must demonstrate that he is able to use state-of-the-art computational methods to predict the effect of mutants from the sequence and structure of proteins.
The module of EXPRESSIONAL PROTEOMICS aims to acquire laboratory skills for the preparation of an experiment in differential proteomics. The experiment can be aimed at the comparison of a pathological sample with a control sample for the identification of potential biomarkers of clinical use, or aimed at the comparison of a cellular sample treated or not with a drug for the recognition of the mechanism of molecular action of the drug itself.
The module of FUNCTIONAL PROTEOMICS aims to acquire laboratory manual skills for the preparation of an experiment in targeted proteomics, through design, preparation and application of biomimetic materials for the selective capture of the target protein in biological samples.

Program

------------------------
MM: a
------------------------
Definition of recombinant protein. Introduction to protein engineering. Acquisition of the required information (theoretical and experimental) to carry out the process of engineering of a protein function/structure. Production of recombinant proteins. Experimental approaches to study and modulate the protein functionality. Protein characterization (Site directed mutagenesis, Gel electrophoresis, Tryptophan (Trp) fluorescence, ANS Fluorescence, Limited proteolysis). Examples of application of protein engineering.
------------------------
MM: b
------------------------
The module will be entirely developed in a computer laboratory. The module is based on the seminal article: Predicting the Effects of Amino Acid Substitutions on Protein Function by Pauline C. Ng and Steven Henikoff and published in: Annual Review of Genomics and Human Genetics. The techniques reviewed in the article will be briefly introduced to the students. Then the students will put their hands on the problem by using those methods to assess the effects on mutants on human Calmodulin. The methods include: Sequence based methods: - Sift - PolyPhen - Panther - PSEC Structure based methods - Analyse the wild-type structure usgin the Chimera program - Introduce the mutants - Analyse the lost/gain interactions upon mutation - Study of the electrostatic potential on the surface of the protein (wild-type and mutated) Annotation based methods: - iHop - Pfam
------------------------
MM: c
------------------------
The expressional proteomics module includes key issues for a proteomics laboratory, for example, methods for protein quantification before a proteomic analysis, separation of proteins by two-dimensional electrophoresis, the detection of the proteomic profile by different staining (colorimetric and/or fluorescent), image acquisition of proteomic profiles, and an introduction to identification of deregulated proteins by mass spectrometry.
------------------------
MM: d
------------------------
The functional proteomics module focuses on the use of biomimetic approaches for selective recovery of protein classes, for the proteomic analysis. The experimental design is: In silico design of the best epitope target in a defined protein. Preparation of the biomimetic material. Functional characterization of the biomimetic material. Application of the biomimetic material for the selective enrichment of biological samples and analysis 2DE of the enriched fraction. In silico modelling of the protein corona.
------------------------
MM: e
------------------------
The goal of the genetics module is the identification of single nucleotide gene variants associated or causative of specific pathological conditions. Competences acquired will be: how to select the subject of the study, how to identify the genes associated to the disease, how to select the most appropriate target enrichment technique, how to perform the steps from sequencing to bioinformatics analysis and how to validate the new markers identified.

Examination Methods

The verification of the acquisition of concepts and protocols inherent to the thematics of the research inspired laboratory , will be through a global exam, subdivided into 10 open questions based on the 5 modules (2 questions for bioinformatics; 2 for biochemistry; 2 for expressional proteomics, 2 for genetics and 3 for functional proteomics) to be replied in 3 hours.
All the questions aims at verifying acquisition of the knowledge of the practicals and of the inherent theories discussed over the course.

Bibliografia

Reference texts
Activity Author Title Publishing house Year ISBN Notes
a M. C. Bonaccorsi di Patti, R. Contestabile, M. L. Di Salvo Metodologie Biochimiche (Edizione 2) Zanichelli 2019
a M. C. Bonaccorsi di Patti, R. Contestabile, M. L. Di Salvo Metodologie Biochimiche (Edizione 2) Zanichelli 2019
a Wilson, Walker Principles and Techniques of Biochemistry and Molecular Biology Cambridge University Press 2010
a M. C. Bonaccorsi di Patti, R. Contestabile, M. L. Di Salvo Metodologie Biochimiche (Edizione 2) Zanichelli 2019
a Wilson, Walker Principles and Techniques of Biochemistry and Molecular Biology Cambridge University Press 2010
b Stefano Pascarella e Alessandro Paiardini Bioinformatica Zanichelli 2011 9788808062192

Type D and Type F activities

Modules not yet included

Career prospects


Module/Programme news

News for students

There you will find information, resources and services useful during your time at the University (Student’s exam record, your study plan on ESSE3, Distance Learning courses, university email account, office forms, administrative procedures, etc.). You can log into MyUnivr with your GIA login details.

Attendance

As stated in point 25 of the Teaching Regulations for the A.Y. 2021/2022, attendance is not mandatory. However, professors may require students to attend lectures for a minimum of hours in order to be able to take the module exam, in which case the methods that will be used to check attendance will be explained at the beginning of the module. 
Please refer to the Crisis Unit's latest updates for the mode of teaching.

Gestione carriere


Graduation

List of theses and work experience proposals

theses proposals Research area
Structural dynamics, aggregation and interactions of amyloidogenic proteins Biological chemistry - Biological chemistry
Structural dynamics, aggregation and interactions of amyloidogenic proteins Molecular interactions - Molecular interactions
Studio delle proprietà di luminescenza di lantanidi in matrici proteiche Synthetic Chemistry and Materials: Materials synthesis, structure-properties relations, functional and advanced materials, molecular architecture, organic chemistry - Colloid chemistry
Stampa 3D di nanocompositi polimerici luminescenti per applicazioni in Nanomedicina Synthetic Chemistry and Materials: Materials synthesis, structure-properties relations, functional and advanced materials, molecular architecture, organic chemistry - New materials: oxides, alloys, composite, organic-inorganic hybrid, nanoparticles
3D-bioprinting biofabrication laboratory Various topics
Organ on-a-chip Various topics

Further services

I servizi e le attività di orientamento sono pensati per fornire alle future matricole gli strumenti e le informazioni che consentano loro di compiere una scelta consapevole del corso di studi universitario.