Bioinformatics and Protein engineering - INGEGNERIA PROTEICA (2013/2014)

Course code
4S000869
Name of lecturer
Alessandra Maria Bossi
Number of ECTS credits allocated
3
Academic sector
BIO/10 - BIOCHEMISTRY
Language of instruction
Italian
Period
II semestre dal Mar 3, 2014 al Jun 13, 2014.

To show the organization of the course that includes this module, follow this link * Course organization

Lesson timetable

Learning outcomes

Bioinformatic and Protein engineering

The course aims at introducing to theoretical and applicative Protein Engineering, by providing information both on algorithms, softwares and on experimental protocols employed for protein design. Case studies from up to date literature will be analyzed.
The course is organized in two modules: (A) Protein engineering and (B) Bioinformatic and in silico protein engineering. Module (A) analyzes Protein Structure, Motivs, Foldins; furnishes information and compares different engineering techniques: Rational Design; Random mutagenesis; Direct evolution; DNA-shuffling; De novo synthesis of proteins; and provides applicative examples that address the needs of industrial proteins, e.g. increase thermostability of enzymes, change in substrate specificity, proteins for sensing technology. Module (B) will be held in the Computational Modelling Lab and would comprise: analysis of the protein sequenca and functional characterization; prediction of fuctional sites; Analysis of protein structure and prediction of protein structure; Molecular Dynamics; Docking of the ligand-protein binding.

Syllabus

Bioinformatic and Protein engineering

The course aims at introducing to theoretical and applicative Protein Engineering, by providing information both on algorithms, softwares and on experimental protocols employed for protein design. Case studies from up to date literature will be analyzed.
The course is organized in two modules:
(A) Protein engineering and (B) Bioinformatic and in silico protein engineering.
Module (A) analyzes Protein Structure, Motivs, Foldins; furnishes information and compares different engineering techniques: Rational Design; Random mutagenesis; Direct evolution; DNA-shuffling; De novo synthesis of proteins; and provides applicative examples that address the needs of industrial proteins, e.g. increase thermostability of enzymes, change in substrate specificity, proteins for sensing technology.
Module (B) will be held in the Computational Modelling Lab and would comprise: analysis of the protein sequenca and functional characterization; prediction of fuctional sites; Analysis of protein structure and prediction of protein structure; Molecular Dynamics; Docking of the ligand-protein binding.