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.
15 February 2023, 4-5.30pm CET (followed by
HYBRID EVENT: In person at Free University Berlin (room will be announced here shortly)
And via Zoom, registration at: https://zoom.us/meeting/register/tJEqdu-rqzIpHNNN2jZCZtmvYNkuD8i1r2BB
Integrating Physical Modeling and Machine Learning to
Enable Rational Kinase Inhibitor
John Chodera, Memorial Sloan Kettering Cancer Center
Molecular Dynamics of GPCR-Gprotein
Guillermo Pérez Hernández, Charite
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!
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