| Summerschool AI4MedChem
Summerschool AI4MedChem
Group picture.
© Dziemba

The first international summerschool AI4MedChem took place at the PharmaCampus Münster from 19th to the 22nd of September 2024. The 30 participants from France, Great Britain, Israel, Italy, Luxembourg, Spain and Germany learned about methods in artificial intelligence for medicinal chemistry and drug discovery.


A comment from the evaluation: "I must say that this is one of the best summer schools I have attended so far. Quality of the notebooks is just excellent & easy to understand. I will highly recommend this school to my collegues."

Industry Evening Lecture by Nathan Brown at Summer School AI4MedChem 2024

We are happy to announce the Nathan Brown, Director of Digital Chemistry at Healx, agreed to come to Münster and give a lecture about the application of AI in industrial pharmaceutical research during our Summer School. Do not miss this opportunity!

The lecture will be on wednesday evening.

SummerSchool AI 4 MedChem 2024
© KochLab

2nd international
Summer School AI4MedChem

Artificial Intelligence for Medicinal Chemistry and Drug Design

09.09.2024 - 13.09.2024 in Münster

The Summer School AI4MedChem
will provide an introductory course AI for interested students, phd students or post-docs in the field of Pharmacy, Medicinal Chemistry, Life Sciences or related fields.


The application is now be possible until 24.04.2024 at

Please also enclose a letter of motivation explaining why you would like to take part. If we have more participants than places available, we will make a manual selection based on your background and letter of motivation.

We have to acknowledge financial support by the university which allows us to provide this summer school free of charge. 

Institute of Pharmaceutical and Medicinal Chemistry, Corrensstr. 48, 48149 Münster

The course is intended for participants who are interested in artificial intelligence methods but have no idea about them. The course combines the theoretical aspects in the form of lectures with the practical aspects using Jupyter Notebooks. Importantly, programming experience is not required, since these Jupyter Notebooks make it possible to teach the practical aspects without any prior programming knowledge. We will use our just released Jupyter notebooks for this course (see:  https://doi.org/10.1002/ardp.202200628)

The program is divided into a morning session, each with lectures that covers the theoretical aspects and a hands-on exercise using Jupyter Notebooks. For the practical exercises an own laptop (or a tablet with keyboard) is needed, but the Jupyter Notebooks and the calculations will be executed on specific university servers. The monday afternoon and tuesday morning session are very general introductions into Python and Data Science with focus on other ML techniques. We will start on tuesday afternoon with the focus on Neural Networks.

A summary of most important information:

  • A personal laptop/tablet is needed (althoug the Jupyter Notebooks and calculations will be executed on university servers)
  • You have to take care of accomodation yourself.

Don't hesitate to reach out to us at info@ai4medchem.de.

An evening lecture with respect to application of AI in industrial pharmaceutical research and a social event will be held on Wednesday evening. On Thursday participants are invited to give a 5 minute presentation about their own research.
Summer School Programm
  Session Lectures Jupyter Notebooks
Monday, 09.09.24 afternoon Introduction into Python Basics in Python
Tuesday, 10.09.24 morning Introduction: Data Science Data Science
Tuesday, 10.09.24 afternoon Introduction: Artificial Intelligence and Cheminformatics Jupyter Notebooks, Basics in Python and Cheminformatics
Wednesday, 11.09.24 morning  Linear Algebra for Neural Networks

Linear Regression

Wednesday, 11.09.24 afternoon Neural Networks Linear Algebra, Neural Networks from Scratch
Thursday, 12.09.24 morning Advanced Neural Networks and Convolutional Neural Networks Neural Networks with Pytorch, Convolutional Neural Networks
Thursday, 12.09.24 afternoon Recurrent Neural Networks and Graph Neural Networks Recurrent Neural Networks, Graph Neural Networks
Friday, 13.09.24 morning Current Applications of Neural Networks and Machine Learning in Drug Discovery Transfer Learning, Autoencoders



Will you provide food and drinks?

As we do not take a registration fee, we are unfortunately unable to provide any drinks or food. Please take care of your own. There are drinks, coffee and snack vending machines in the building available and the canteen for lunch and a bakery are nearby.

How can I get to the Building?

Public transport is available via bus with the closest stations being “Henriette-Son-Straße”, “Mendelstraße” and “P+R Coesfelder Kreuz”, serviced by line 1, 2, 5, 11 and 12, all of which also depart from Münster Central Station as the main train station.

There is free, guarded parking available located at “P+R Coesfelder Kreuz” a 3-minute walk from the event location, however overnight parking is not allowed.

The closest regional airport is Münster-Osnabrück (FMO), well connected via public transport during the day. The closest international airport is “Düsseldorf International (DUS)”. CAVE: There is a second airport in Düsseldorf, Düsseldorf-Weeze (NRN) mostly operated by Ryanair. However, this one is located quite far off and badly connected via public transport!

As a city famous for its bicycle culture, the easiest, most flexible, and most widely used way to get around the city is by bike. If you are in for the real Münster experience, information on where to rent a bike is available here.

Will you provide accomodation?

Unfortunately, it is not possible for us to organize accommodation for this event. However, information on accommodation in Münster is available here, or the pertinent websites.