Modern Methods in Drug Discovery WS 19/20

Lecture

Monday, 10:15 am – 11:45 am, building E2 1, room 007, starting on October 21st

Tutorial

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

Exam

GRADES of the exam of January 27th, 10:00 am – 12:00, E2 1, room 007

Exam evaluation on Monday, February 3rd, 10:15 am, or by arrangement

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

Re-exam

Will be announced.

Information

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

Requirements

  • 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

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

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.

Leistungspunkte/Credits

5 (2 V + 1 Ü)

Language

This course is taught in English language.

Lectures

Lectures/Tutorials Slides Exercises
Lecture 1, October 21 Lecture 1 Assignment 1
Lecture 2, October 28  Lecture 2
Lecture 3, November 4  Lecture 3 Assignment 2
Tutorial 1, November 7 Tutorial 1
Lecture 4, November 11  Lecture 4
Lecture 5, November 18 Lecture 5 Assignment 3
Tutorial 2, November 21  Tutorial 2
Lecture 6, November 25  Lecture 6
Lecture 7, December 2 Lecture 7 Assignment 4
Tutorial 3, December 5 Tutorial 3 compound set
Lecture 8, December 9 Lecture 8
Lecture 9, December 16 Lecture 9 Assignment 5
Lecture 10, January 6 Lecture 10
Tutorial 4, January 9 Tutorial 4
Lecture 11, January 13 Lecture 11
Lecture 12, January 20 Lecture 12
Tutorial 5, January 23  Tutorial 5
Exam, January 27
Exam evaluation, February 3, or by arrangement