Modern Methods in Drug Discovery WS 17/18


PD Dr. Michael Hutter


PD Dr. Michael Hutter


Monday, 10:15 am – 11:45 am, building E2 1, room 007, starting on October 23, 2017


every second week, Thursdays, 04:15 pm – 05:45 pm, Dates: see table below, building E2 1, CIP pool 003


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




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


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

The questionnaire 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.
Students need to have successfully passed one of the following courses to be admitted:
Bioinformatik II
Bioinformatics III (Master program Bioinformatics)
Computational Chemistry I
Softwarewerkzeuge der Bioinformatik


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


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.


5 (2 V + 1 Ü)


This course is taught in English language.


Lectures/Tutorials Slides Exercises
Lecture 1, October 23 Lecture 1 Assignment 1
Lecture 2, October 30  Lecture 2
Lecture 3, November 6  Lecture 3  Assignment 2
Tutorial 1, November 9  Tutorial 1
Lecture 4, November 13  Lecture 4
Lecture 5, November 20  Lecture 5  Assignment 3
Tutorial 2, November 23  Tutorial 2
Lecture 6, November 27  Lecture 6
Lecture 7, December 4  Lecture 7  Assignment 4
Tutorial 3, December 7  Tutorial 3
Lecture 8, December 11 Lecture 8
 Assignment 5
Tutorial 4, December 14  Tutorial 4
Lecture 9, December 18  Lecture 9
Lecture 10, January 8  Lecture 10
Lecture 11, January 15  Lecture 11
Tutorial 5, January 18
Exam, January 22
Exam evaluation, January 29