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
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 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.
Computational Biology (2018/2019)
Teaching code
4S003658
Credits
6
Language
English
Also offered in courses:
- Bioinformatics and Protein engineering - INGEGNERIA PROTEICA of the course Master's degree in Agri-Food Biotechnology
- Bioinformatics and Protein engineering - BIOINFORMATICA of the course Master's degree in Agri-Food Biotechnology
Scientific Disciplinary Sector (SSD)
BIO/10 - BIOCHEMISTRY
The teaching is organized as follows:
Modulo 2
Modulo 1
Learning outcomes
This course gives an introduction to molecular computational biology and to the rational design of proteins using computational techniques. The arguments of the course include: molecular dynamis simulation techniques and advanced protein bioinformatics concepts.
At the end of the course the student should be able to:
- Deep and critical understanding of a scientific article where computational techniques are used
- Introduce (in silico) mutants able to affect the protein structure and/or function
- Prepare and run molecular dynamis simulations.
Program
Part A – Bioinformatics
− Advanced Structural Bioinformatics
- Thermodynamic basis of the stability of folded biomolecular structure
− Molecular basis of human perception
Part B – Molecular Modeling
− Basic elements of molecular modeling
− Electrostatic modeling
− Energy minimization based on force fields
− Molecular dynamics: solution by using the open source NAMD and/or Gromacs codes
− Conformational analysis
Part C – Ligand-prtoein interactions
− Protein assembly (protein-protein complexes, protein-protein interactions in protein dimers, crystals): protein-protein docking algorithms and programs
− Ligand Protein interaction: docking algorithms and programs
− Projects: Drug and/or protein design
Bibliography
| Activity | Author | Title | Publishing house | Year | ISBN | Notes |
|---|---|---|---|---|---|---|
| Modulo 2 | Stefano Pascarella e Alessandro Paiardini | Bioinformatica | Zanichelli | 2011 | 9788808062192 | |
| Modulo 1 | Stefano Pascarella e Alessandro Paiardini | Bioinformatica | Zanichelli | 2011 | 9788808062192 | |
| Modulo 1 | Frishman, D., Valencia, Alfonso | Modern Genome Annotation | Springer | 2008 |
Examination Methods
Written.
The examination is divide in two parts: the first consists in the presentation (in groups) of a scientific article in which state of the arte techniques are used.
The second part is a written examination with open questions regarding the arguments of the course.
