Teaching in Münster



An introduction into Artificial Intelligence (WS2021/2022, Teaching Language: German)

This course gives an introduction in into artifitical intelligence for pharmacists (and master chemistry and drug science). It combines a theoretical lecture (1 hour per semester) with practical excercise as jupyter notebooks. The development of this course is funded by the "Apothekerstiftung Westfalen Lippe)

The link to the Learnweb course: Learnweb EIDKI-2021_2


Drug Design and Development (WS2021/2022, Teaching Language: German)

This course gives an introduction into modern drug design and development methods. Learnweb VDDUE-2021_2


Computational Methods in Medicinal Chemistry and Drug Design (SS21)

The identification and development of new drugs is nowadays hardly imaginable without the use of computational methods. These methods support the complete development workflow from initial target and hit identification up to the development of the final drug candidates.
This course will give an introduction into computational methods for the design of chemical probes and potential drugs that are important in pharmaceutical research and medicinal chemistry: It will covers cheminformatic methods like fingerprint-based similarity searches, bioinformatic methods like homology modelling and molecular design methods like pharmacophore searches and molecular docking.

Learnweb CMMCW-2021_1


Drug Design and Development (WS20/21)

This course gives an introduction into modern drug design and development methods. (WS19/20) Learnweb VDDUE-2020_2


An introduction to artificial intelligence for chemists and pharmacists (WS20/21)

This course gave an introduction to neural networks and their applications in pharmaceutical drug discovery and chemistry. This includes both the theoretical aspects and the practical application. In addition, current aspects of data science were also considered in order to gain first insights into the workflows involved in using artificial intelligence for scientific problems. (WS19/20)  Learnweb KICP_2020
I
t is planned to provide this course on a regular bases every WS.


Drug analysis with special consideration of pharmacopoeias

Responsible person for practical course “Arzneistoffanalytik unter besonderer Berücksichtigung der Arzneibücher” including accompanying courses. (SS19/WS20/SS20) Learnweb ASA SS20


Computational methods in medicinal chemistry and drug design

This three-day block seminar combines lectures and practical examples as an introduction into computational methods for the design of chemical probes and potential drugs that are important in pharmaceutical research and medicinal chemistry.  It covers cheminformatics, bioinformatics and molecular design methods. So far, this seminar was provided in SS19, WS19/20 and SS20 and will be continued on a regular basis

  



Other Teaching Experiences



Teaching Experiences at International Training Courses

03/2014 Organizer and lecturer "1. International Spring School Cheminformatics", Erlangen, Germany
                  organized by the CIC subdivision of the GDCh
10/2012 Organizer and lecturer of the training school „In silico tools for drug discovery“, Siena, Italy
                  arranged in the context of the European funding „COST Action CM0801 - New drugs for neglected diseases“ 
05/2011 Lecturer at the training school „In silico tools for prioritization of drug targets“, Siena, Italy
                  arranged in the context of the European funding „COST Action CM0801 - New drugs for neglected diseases“


Teaching experiences at other universities

10/2012 – 10/2018    Lecturer for medicinal chemistry and chemical biology, TU Dortmund
                                          Responsible for “Computational methods in drug design” and
                                          practical course “Structure-based Drug Design” and others

04/2011 – 03/2020   External lecturer in pharmaceutical chemistry, Eberhard-Karls-Universität Tübingen
                                          Block seminar  “Stuctural Biology, Protein-Ligand Interactions and Rational Drug Design”