262005 VO Introduction to Computational Biology and Drug Discovery (2023W)

Moodle

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 01.02.2024 09:45 - 11:15 Seminarraum 9, Kolingasse 14-16, OG01 Thursday 07.03.2024 09:45 - 11:15 Seminarraum 15, Kolingasse 14-16, OG01 Thursday 18.04.2024 09:45 - 11:15 PC-Seminarraum 3, Kolingasse 14-16, OG02 N Thursday 27.06.2024 09:45 - 11:15 Seminarraum 9, Kolingasse 14-16, OG01

Lecturers

Classes (iCal) - next class is marked with N

    
    Thursday
    12.10.
    09:45 - 13:00
    Seminarraum 9, Kolingasse 14-16, OG01
    
    Thursday
    19.10.
    09:45 - 13:00
    Seminarraum 9, Kolingasse 14-16, OG01
    
    Thursday
    09.11.
    09:45 - 13:00
    Seminarraum 9, Kolingasse 14-16, OG01
    
    Thursday
    16.11.
    09:45 - 13:00
    Seminarraum 9, Kolingasse 14-16, OG01
    
    Thursday
    23.11.
    09:45 - 13:00
    Seminarraum 9, Kolingasse 14-16, OG01
    
    Thursday
    30.11.
    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 additional materials is not permitted during the exam.

Minimum requirements and assessment criteria

There are no specific requirements for for the participation in this course but students will find a background in biology and/or chemistry enormously helpful.

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: Mo 29.01.2024 10:06