301186 VO Structural Bioinformatics II (2024S)
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Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
Details
Language: English
Examination dates
Lecturers
Classes (iCal) - next class is marked with N
10.00 - 12.00 und 13.00 - 15.00 Uhr
CCR03 (VBC5/1.113), Viennabiocenter 5,1030 Wien.
- Monday 10.06. 10:00 - 15:00 CCR03-Raum 1.113 Campus Vienna Biocenter, 1030 Wien
- Tuesday 11.06. 10:00 - 15:00 CCR03-Raum 1.113 Campus Vienna Biocenter, 1030 Wien
- Wednesday 12.06. 10:00 - 15:00 CCR03-Raum 1.113 Campus Vienna Biocenter, 1030 Wien
- Thursday 13.06. 10:00 - 15:00 CCR03-Raum 1.113 Campus Vienna Biocenter, 1030 Wien
- Friday 14.06. 10:00 - 15:00 CCR03-Raum 1.113 Campus Vienna Biocenter, 1030 Wien
Information
Aims, contents and method of the course
Assessment and permitted materials
The overall assessment will be based mainly on the final written report. However, attendance and in-class performance will be monitored and may be taken into consideration for final scores.
Minimum requirements and assessment criteria
The students will need to write a report on a drug-bound protein of their choice using the techniques learned in this course. The details of the format and layout of the report will be explained in the class.
Examination topics
All materials taught in the class
Reading list
M. M. Gromiha. Protein Bioinformatics, Academic Press, 2010
F. Pazos, M. Chagoyen, Practical Protein Bioinformatics, Springer;
F. Pazos, M. Chagoyen, Practical Protein Bioinformatics, Springer;
Association in the course directory
MMB III-1a:, MMB II-2, PhD MB
Last modified: We 19.02.2025 12:27
Contents: Theoretical aspects of protein structure prediction methods are presented, including: secondary structure, conformational disorder, coiled-coils, tertiary structure – via homology modelling and threading – quaternary structure. Several exercises are performed by using freely distributed software or online services. The principal databases (PDB, CATH, SCOP, ModiDB, DisProt, ModBase) are described and the procedures to browse/scan then at a professional levels are presented though several small exercises. Molecular mechanics is described and used in three-dimensional model refinement. Introductory information on molecular mechanics and artificial intelligence is provided at the end of the course. Note that student with insufficient physico-chemical background may ask for a private meeting with the lecturer to try to overcome their problems.
Methods: The course will consist in a mixture of lectures and exercises. A structure list of exercises is provided to the student who can solve them home.