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
Registration
Register for the Summer School on Drug Design – Vienna 2021. You will then receive an invoice with further payment instructions by e-mail. It is essential that you follow these instructions. Entering erroneous information can lead to difficulties in tracing the payment back to you.
Also take a look at the organisation page before registering. Deadline for registration was August 15, 2021.
Fees
The registration fee includes access to all lectures and practical exercises (workshops) as well as the poster session.
Early Bird
until June 30, 2021
| Full Fee | € 150,- |
| Student Fee | € 75,- |
Standard
from July 1, 2021
| Full Fee | € 200,- |
| Student Fee | € 100,- |
Deadline for registration was August 15, 2021.
Please mind, that the registered participant must meet the basic technical requirements for participation (incl. a stable Internet connection, current browser and/or software versions, speaker or headset, etc.). Please understand that we cannot accept any liability for problems related to the minimum requirements, especially if the Internet connection is interrupted, too weak or the like.
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.