Artificial Intelligence for Medicinal Chemistry and Drug Design
19.09.2023 - 22.09.2023 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.
Deadline for Application: 18.06.2023
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 preliminary programm is described below.
If you want to participate: Please write an Email to info@ai4medchem.de containing a short description about your motivation, why you would like would like to participate, until June 18th 2023. Please indicate, if German is fine for the summer school, or if English is needed. Since places are limited, the selected participants will be informed within a week.
Further information will follow.
A summary of most important information:
| Session | Lectures | Jupyter Notebooks | |
| Tuesdy, September 19th | afternoon | Introduction: Artificial Intelligence Introduction: Cheminformatics | Basics in Python, Jupyter Notebooks and Cheminformatics |
| Wednesday, September 20th | morning | Linear Regression and Data Science | Statistics, Data Science and Linear Algebra for Neural Networks |
| Wednesday, September 20th | afternoon | Neural Networks | A simple Neural Network in Python |
| Thursday, September 21th | morning | Advanced Neural Networks and Recurrent Neural Networks | Neural Network with Pytorch Recurrent Neural Networks |
| Thursday, September 21th | afternoon | Convolutional Neural Networks and Graph Convolutional Neural Networks | Convolutional Neural Networks |
| Friday, September 22th | morning | Autoencoders and Applications | Autoencoder |