262005 VO Introduction to Computational Biology and Drug Discovery (2022W)
Labels
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
- Thursday 02.02.2023 09:45 - 11:15 Seminarraum 9, Kolingasse 14-16, OG01
- Thursday 02.03.2023 09:45 - 11:15 Seminarraum 9, Kolingasse 14-16, OG01
- Wednesday 26.04.2023 09:45 - 11:15 Seminarraum 10, Kolingasse 14-16, OG01
- Tuesday 27.06.2023 09:45 - 11:15 Seminarraum 9, Kolingasse 14-16, OG01
Lecturers
Classes (iCal) - next class is marked with N
- Thursday 06.10. 09:45 - 13:00 Seminarraum 9, Kolingasse 14-16, OG01
- Thursday 13.10. 09:45 - 13:00 Seminarraum 9, Kolingasse 14-16, OG01
- Thursday 20.10. 09:45 - 13:00 Seminarraum 9, Kolingasse 14-16, OG01
- Thursday 27.10. 09:45 - 13:00 Seminarraum 9, Kolingasse 14-16, OG01
- Thursday 03.11. 09:45 - 13:00 Seminarraum 9, Kolingasse 14-16, OG01
- Thursday 10.11. 09:45 - 13:00 Seminarraum 9, Kolingasse 14-16, OG01
- Thursday 17.11. 09:45 - 13:00 Seminarraum 9, Kolingasse 14-16, OG01
Information
Aims, contents and method of the course
Students will learn basic concepts and methods of bioinformatics and pharmacoinformatics. The contents include: Analysis, prediction and modeling of biological macromolecules (proteins, DNA, RNA), biological databases, sequence analysis, phylogenetic analysis, gene annotation, comparative genomics, quantitative structure-activity relationships, molecular docking, virtual screening, data integration and hit-to-lead processes in drug discovery.
Assessment and permitted materials
Written exam, in presence. The use of no additional materials is permitted during the exam.
Minimum requirements and assessment criteria
There are no specific requirements for for the participation in this course. For the successful completion of the class a minimum of 60% of the total points of the exam are required.
Examination topics
Content presented in the lecture
Reading list
Association in the course directory
ICBD
Last modified: We 18.01.2023 15:49