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Lecturer(s)
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Krepl Miroslav, RNDr.
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Berka Karel, doc. RNDr. Ph.D.
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Kührová Petra, Mgr. Ph.D.
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Zgarbová Marie, Mgr. Ph.D.
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Course content
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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
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Learning activities and teaching methods
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Monologic Lecture(Interpretation, Training), Training in job and motor Skils
- Preparation for the Exam
- 60 hours per semester
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Learning outcomes
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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
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Prerequisites
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unspecified
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Assessment methods and criteria
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Oral exam
Structural bioinformatical analysis of model system, discussion on a given topic (2 questions)
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Recommended literature
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Bourne P. & Helge W. (Eds.). (2003). Structural Bioinformatics. Wiley.
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Eidhammer I., Jonassen I., & Taylor WR. (2004). Protein Bioinformatics - An Algorithmic Approach to Sequence and Structure Analysis. Wiley.
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Leach AR. (2001). Molecular Modelling - Principles and Applications (2 edition). Pearson Education.
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Orengo CA., Jones DT., Thornton JM. (Eds.). (2003). Bioinformatics - Genes, Proteins and Computers. Bios Scientific Publishers Ltd.
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Voet D. & Voet JG. (2004). Biochemistry (3rd edition). Wiley.
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Zvelebil, M. & Baum, J. (2007). Understanding Bioinformatics. Garland Science.
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