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Spezialvorlesung: Modern Methods in Drug Discovery WS 07/08

General Information

Lecturer: Dr. Michael Hutter

Tutor: Dr. Michael Hutter

Lecture: Monday, 10:15 am - 11:45 am, building E 1 3, R 0.16
Tutorial: Wednesday, 9:15 am - 10:45 am, CIP Pool Bioinformatik, R. 104, every second week

Information: This course can be used as a "Spezialvorlesung der Bioinformatik"

Note: This course will be presented in English, the final exam will be available in German too.


  • basic knowledge of Organic Chemistry and Genetics
  • scope of the lectures:
    Bioinformatik I + II
    Computational Chemistry
    Softwarewerkzeuge der Bioinformatik

This questionaire gives you an idea about the required knowledge.
Due to the limited capacity of the room, the number of participants
will be limited to about 20.

Registration: via E-mail starting October by name and Matrikelnr.
to:  Kerstin Gronow-Pudelek

Students that have successfully passed the following courses
will be considered in the first place:
Bioinformatik I
Bioinformatik II
Computational Chemistry I
Softwarewerkzeuge der Bioinformatik

Master course students with a bachelor degree from another university can also take part if successful participation of equivalent courses has been proved.


Scope: 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 orthologues genes to derive new targets and model organisms
  • current trends and strategies of drug design

Schein/Certification: Grade of certification ("Schein") is based on the final exam only.

Condition for participation in the final exam: At least 50% of the points of the assignments.

Date of the exam: Monday, February 18, 10:15 am, building E 1 3, R 0.16       

Leistungspunkte/Credits: 5 (2 V + 1 Ü)

This course is taught in English. 


1st Lecture, October 29

2nd Lecture, November 5 

1st Tutorial, November 7 
3rd Lecture, November 12

4th Lecture, November 19

2nd Tutorial, November 21
5th Lecture, November 26

6th Lecture, December 3

3rd Tutorial, December 5
7th Lecture, December 10

8th Lecture, December 17

4th Tutorial, December 19
9th Lecture, January 7

10th Lecture, January 14

5th Tutorial, January 16
11th Lecture, January 21

12th Lecture, January 28

6th Tutorial, January 30
no lecture on February 4

14th Lecture, February 11




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