Modern Methods in Drug Discovery

Registration/Requirements

Since the number of participants is limited, the following conditions apply:

Bioinformatics bachelor program, successful completion in one of the following courses:

• Computational Chemistry
• Bioinformatik II
• Softwarewerkzeuge der Bioinformatik
• Structural Bioinformatics

Bioinformatics master program:

• 9 CP from any core lecture computer science

Biotechnologiy master program:

• Softwarewerkzeuge der Bioinformatik

You will be added to the corresponding MS-Team subsequently by the lecturer. Apply for registration by email to Kerstin Gronow-Pudelek until October 25th, 2024

Content

The focus of this course is the computer based prediction of suitable pharmaceutical drugs and the search for new potential targets in the human genome. Following topics are covered:

• molecular origin of typical diseases and the mode of action of drugs
• virtual substance libraries and query strategies
• in silico eADMET models and filters, bioavailability
• statistics and QSAR methods
• metabolism, toxicology and adverse side effects, also considering biomarkers
• polymorphism and susceptible genes
• identification of orthologous genes to derive new targets and model organisms
• current trends and strategies of drug design

This course can be used as a “Spezialvorlesung der Bioinformatik/Special-topic Lecture Bioinformatics”

Certification

To pass the course, students have to pass the written exam (or the re-exam). The grade for the course equals the grade of the (re-)exam. While the course is taught in English, the exam will be available in German as well.

To participate in the final exam, students have to pass the two intermediate tests, which will be available in the Moodle system.

Lecture Schedule

If conditions allow, lectures take place in presence in building E2.1 room 001. Tutorials take place every second week online in Microsoft Teams.