|
Lecturer(s)
|
-
Krepl Miroslav, RNDr.
-
Berka Karel, prof. RNDr. Ph.D.
|
|
Course content
|
Description of biomacromolecules, Structural hierarchy, proteins, nucleic acids Structure determination (X-Ray, NMR, EM, etc.) Structure file formats PDB database NDB database Other structural databases (CATH, SCOP, Drugbank) Vizualization of structure, structural alignment Structure prediction, CASP Function prediction Ligand docking Challenges of structural bioinformatics - membrane proteins, nucleic acids, protein-protein interactions prediction
|
|
Learning activities and teaching methods
|
Monologic Lecture(Interpretation, Training), Training in job and motor Skils
- Preparation for the Exam
- 60 hours per semester
|
|
Learning outcomes
|
Structural bioinformatics is a part of bioinformatics, which is related to the analysis and prediction of the three-dimensional structure of biomacromolecules for the analysis of their function.
ability to define fundamental concepts, describe fubdamental approaches applied to structural bioinformatics of proteins
|
|
Prerequisites
|
unspecified
|
|
Assessment methods and criteria
|
Oral exam
Structural bioinformatical analysis of model system, discussion on a given topic (2 questions)
|
|
Recommended literature
|
-
Bourne P. & Helge W. (Eds.). (2003). Structural Bioinformatics. Wiley.
-
Eidhammer I., Jonassen I., & Taylor WR. (2004). Protein Bioinformatics - An Algorithmic Approach to Sequence and Structure Analysis. Wiley.
-
Leach AR. (2001). Molecular Modelling - Principles and Applications (2 edition). Pearson Education.
-
Orengo CA., Jones DT., Thornton JM. (Eds.). (2003). Bioinformatics - Genes, Proteins and Computers. Bios Scientific Publishers Ltd.
-
Voet D. & Voet JG. (2004). Biochemistry (3rd edition). Wiley.
-
Zvelebil, M. & Baum, J. (2007). Understanding Bioinformatics. Garland Science.
|