ONLINE EDITION

EUROPIN Summer School on Drug Design – Vienna

September 13 – 17, 2021

Our next Summer School on Drug Design will take place in Vienna: September 10 – 15, 2023

Welcome to #SSDD21

The summer school especially focuses on students and professionals who have a clear interest in learning the basics as well as latest developments in Pharmacoinformatics. The program provides an overview on main approaches and techniques used in computational drug design, ranging from protein modeling, docking, pharmacophore based screening, up to machine learning, data science, and workflows. During the afternoon sessions the participants will have the opportunity to obtain hands-on training via computational exercises.

Topics Coverage

  • in silico Toxicology
  • Molecular Dynamics Simulations
  • Ligand- and Target-based Design
  • Pharmacophore Modeling
  • Open Data, Open Tools, Open Knowledge
  • Case Studies from Industry

Feedback #SSDD19

One of the best organized events I have attended. Congratulations, it was a great week of learning and socializing. Will most definitely return on following editions.
This summer school brought me a lot of knowledges, it's a start to get into my career. Thank you very much.
Great summer school! Thank you all so much for this awesome week in Vienna!

Contact us

If you have any questions regarding the EUROPIN Summer School on Drug Design, please don’t hesitate to contact us at summerschool@europin.at

EUROPIN – a structured, highly interconnected training through research PhD program on the efficient and innovative use of information technologies and computational approaches in the drug discovery, design and development processes.

Organised by

Pharmacoinformatics Research Group 

Following a holistic pharmacoinformatic approach we combine structural modeling of proteins, structure-based drug design, chemometric and in silico chemogenomic methods, statistical modeling and machine learning approaches to develop predictive computational systems for transporters and ion channels.

The validation and optimisation of the obtained in silico models by strong links to experimental groups is an integral part of these activities.

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