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This is an archived page of the course 2019. Visit here to view the page of the current course.

Welcome to the website for Introduction to Applied Mathematics and Informatics In Drug Discovery, the course series running at the Department of Mathematics and Informatics, University of Basel.

The course in autumn semester 2019 has been finished. The next course will take place in autumn semester 2020.

Time and place

The lecture takes place on Fridays between 12:15 and 14:00 in Seminarraum 5.002, Department of Mathematics and Informatics, University of Basel, Spiegelgasse 1, 4051 Basel.

Course material, including lecture notes, slides, and reading material, are shared on the course’s web site,, unless otherwise specified in the course.


  1. Drug discovery: an overview (20.09.2019)
  2. The central dogma and Vemurafenib (27.09)
  3. Biological sequence analysis (4.10.)
  4. From protein structure to screening (11.10)
  5. Screening and drug design (18.10.)
  6. From molecular modelling to network analysis (25.10.)
  7. Omics and cellular modelling (1.11.)
  8. PK/PD and PBPK modelling (8.11.)
    • Only board is used for today’s lecture
    • Recommended read for all, Introduction to PK/PD modelling, by Mortensen et al, DTU Informatics, 2008.
    • Recommended read for mathematicians about Numerical Transforms, by Ronald N. Bracewell, Nature 248 (4956), 697-704, 1990.
  9. Population modelling and clinical trial (15.11.)
  10. Guest speakers: Dr. Lucy Hutchinson and Dr. Nicolas Frey (22.11.)
    • Flyer
    • Talk by Dr. Lucy Hutchinson (12:15-13:00): Mathematical modeling in academia and industry
    • Talk by Dr. Nicolas Frey (13:15-14:00): Introduction to Clinical Pharmacometrics, or About the Role of Mathematical Modeling and Simulation in Clinical Drug Development
  11. Dies academicus - no lecture (29.11.)
  12. Guest speakers: Dr. Kaspar Rufibach and Dr. Benjamin Ribba (6.12)
    • Flyer
    • Talk by Dr. Kaspar Rufibach (12:15-13:00): Interim look into pivotal clinical trials - why it matters and how to do it
    • Talk by Dr. Benjamin Ribba (13:15-14:00): The mathematics behind medicine prediction
  13. Student presentation (I) (13.12.)
  14. Student presentation (II) (20.12.)


The final note is given by participation (20%), presentation (30%), and an oral examination (50%).

The oral examination (20 min) will be about concepts that we learned together, and about explaining mathematical concepts (or concepts in your domain of experts) to a layman - your lecturer.

Further information

Further questions or suggestions?

Please contact the lecturer, Jitao David Zhang, at