Modern Methods in Drug Discovery WS 15/16

Tutor:

Dr. Michael Hutter

Lecture:

Monday, 10:15 am - 11:45 am, building E2 1, room 007, starting on October 26

Tutorial:

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

Exam:

Monday, February 1st, 10:15 am, in E2.1, room 007
These are the results of the exam.

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

Re-exam:

The re-exam will take place on Wednesday, April 20th, at 04:00 pm in E2.1, room 007.

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:

LecturesSlidesExcercises
Lecture 1, October 26pdfAssignment 1
Lecture 2, November 2pdf
Lecture 3, November 9pdfAssignment 2
Tutorial 1, November 12 (CIP-room)Excercise 1Excercise 1
Lecture 4, November 16pdf
Lecture 5, November 23pdfAssignment 3    MX data set
Tutorial 2, November 26 (CIP-room)Excercise 2Excercise 2
Lecture 6, November 30pdf
Lecture 7, December 7pdfAssignment 4
Tutorial 3, December 10 (CIP-room)Excercise 3Excercise3
Lecture 8, December 14pdf
Lecture 9, January 4pdf
Lecture 10, January 11pdfAssignment 5
Tutorial 4, January 7 (CIP-room)Excercise 4Excercise 4
Lecture 11, January 18pdf
Tutorial 5, January 21 (CIP-room)roundup
Lecture 12, January 25pdf
Exam, February 1