A Berlin Seminar Series @ DigiDrug.NET

Welcome!

Drug discovery is a complex, time and cost intensive process, and most drugs fail in the clinic. On the other hand, we have more and more chemical and biological data available, and tremendously powerful computer algorithms at our disposal. So how do we make best use of it?

With this seminar series, we aim to foster the networking between the academia, industry, and researchers at other organisations in the area of 'Digital Science for Drug Discovery', with a geographical focus on the Berlin region (and free and open to everyone). For the time being our events will be held via Zoom, with the aim to move to in-person events as soon as the situation allows.

Upcoming Event: 24 May 2023, 4pm CEST
In Person: Lecture Hall 1, Institute of Pharmacy, Koenigin-Luisestr. 2+4, 14195 Berlin
Via Zoom: https://zoom.us/meeting/register/tJwqfu6pqjIjGdLM8YTjrk4x6c56J-PvNUeF

Protein-Ligand Binding Kinetics in Drug Design: Prediction of Kinetic Rates for Kinases
Ariane Nunes Alves, TU Berlin
https://www.unisyscat.de/people/current-group-leaders/nunes-alves-ariane

Reagent Prediction With a Transformer and Its Benefits for Reaction Product Prediction
Mikhail Andronov, SUPSI/Pfizer
https://www.ai-dd.eu/mikhail

Next Events: 6 September, and 29 November 2023, 4-5.30pm CET

Please get in touch if you would like to present!

Please let us know if you wish to be informed about future events, as well as if you wish to present your work on a future occasion!

Contact Us

Clara Christ - Clara.Christ@digidrug.net
Andrea Volkamer - Andrea.Volkamer@digidrug.net
Gerhard Wolber - Gerhard.Wolber@digidrug.net
Andreas Bender - Andreas.Bender@digidrug.net

Newsletter

Please let Andreas know (Andreas.Bender@digidrug.net) if you wish to be added to the Newsletter (which contains only information about upcoming events and those related to the topic of the meeting; sent not more often than once monthly).

Links to related initiatives