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Welcome to the website for Applied Mathematics and Informatics In Drug Discovery (AMIDD), the course series running at the Department of Mathematics and Informatics, University of Basel in the fall semester 2023.

The course series introduces interdisciplinary research in drug discovery with mathematics as the language and computation as the tool. We have a diverse and lively class room that learn together and from each other: every year about two third students of the class study mathematics or computer science, while other students study physics, chemistry, (computational) biology, pharmacy, and other fields such as epidemiology and medicine.

More information on the course can be found at the course directory of the University Basel.

Table of content

Time and place

The lecture takes place on Fridays between 12:15 and 14:00 at Spiegelgasse 5, Seminarraum 05.002.

Course material and licensing

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

All course material, unless otherwise stated, is shared under the Creative Commons (CC-BY-SA 4.0) license.

Pre-course survey

Prior to attending the first session, please fill out the voluntary pre-course survey. Your reply helps me to shape the course to meet your needs.


The final note is given by participation including quizzes (30%), offline activities (40%), and a collaboration challenge in the final session (30%).


Lecture 1: Introduction

The first module is finished with the first lecture.

Lecture 2: Drug targets and mechanistic modelling

Lecture 3: Statistical modelling and machine learning

Lecture 4: Causal inference

Lecture 5: Searching for key questions in drug discovery

Lecture 6: Disease understanding and target identification

Lecture 7: Biological sequence analysis

Lecture 8: Structure-based and ligand-based drug discovery


Lecture 9: From interactions to networks

The course takes place exceptionally at Bernoullistrasse 30/32, kleiner Hörsaal 120.

Note that on Friday, 24.11.2023, there is NO lecture due to Dies Academicus.

Lecture 10: Omics and MoA studies for translational research

Lecture 11: PK/PD modelling

Lecture 12: Guest lectures

We shall have two guest speakers: Hanna Silber Baumann and Ercan Suekuer.

After the two talks, we will use the rest of the time to

Lecture 13: A collaboration challenge

Details are announced in the classroom during lecture 12.

Offline activities

You can find all offline activity questions and answers for AMIDD 2023, as well as answers to the questions raised by participants, in this PDF document.

Further questions or suggestions?

Please contact the lecturer, Jitao David Zhang, at

Archives of past courses