Driess Group Here's our corresponding Research Highlight article: How stable are the electrodes we design at #UniSysCat under real operating conditions? Can they compete with the ones in use for #hydrogen production? #catalysis #chemistry #sciencenews @AdvSciNews unisyscat.de/news-events/ne…

🔬👨‍🔬👩🏼‍🔬🧪🥼Auf dem Campus Berlin-Buch erwartet Groß und Klein ein umfangreiches Programm mit Laborführungen, Mitmachexperimenten, Kinderprogramm mit Forschungsdiplom sowie Rundgänge zur Wissenschaftsgeschichte und Campusentwicklung. Max Delbrück Center Gläsernes Labor Silence Therapeutics

Morgen ist es schon so weit: die lange Nacht der Wissenschaften 2024 erwartet euch. Und wir veranstalten ein exzellentes Science #Pubquiz an der TU Berlin zusammen mit den 7 Exzellenzclustern aus #Berlin 👇 Kommt vorbei und rätselt mit 🧐 LNDWBerlin

The very best congratulations Frauke! That's great news!

Happy to start working with new 1,2 GHz NMR spectrometer - perfect for precise analysis of complex biological systems like #proteinstructures ! Peter Schmieder, HanSun_lab , Adam Lange, Sigrid Milles , Hartmut Oschkinat Read more 👇 leibniz-fmp.de/newsroom/news/…

New insights HanSun_lab in collaboration with the Baukrowitz lab (University of Kiel), on phosphorylation of TREK channels could offer therapeutic potential for ischemia, epilepsy & depression, published Nature Communications More: leibniz-fmp.de/newsroom/news/… Illustration: Barth van Rossum

A significant milestone for our Cell Painting project. Well done, Christopher! This is the result of a collaborative effort over many years by four imaging sites at EU-OPENSCREEN. EU-OPENSCREEN ERIC FMP Berlin

The new work from Lange lab Nature Communications shows how we can use SMA/DIBMA to not only see associated lipids, but can estimate their binding & study activity of intramembrane proteases in these systems through collisional mixing! nature.com/articles/s4146…

In dieser Episode erklärt Dr. Sanja Bauer Mikulovic Bernd Rupp, wie die Neurobiologie der Kognition und der Emotionen funktionieren. 🎙️ spektrum.de/podcast/wirkst…

In dieser Episode sprechen wir über Ionenkanäle, ihre Rolle im Gehirn und wie der AMPA-Rezeptor elektrische Signale steuert. 🎙️ spektrum.de/podcast/wirkst…

📥#Job opening for a #PhD student in our group MPI for Multidisciplinary Sciences in Göttingen 🇩🇪 in connection to #RTG2756 #CYTAC Job advert 🔗mpinat.mpg.de/4793823/28-24?… 🔗uni-goettingen.de/rtg2756 #mircotubules #Applications welcome!

We have an open position for studying two-pore domain potassium channels using MD simulations and single-particle Cryo-EM. Please help us spread the word: leibniz-fmp.softgarden.io/job/50703298?l…

Congratulations! Very well deserved

We are very grateful for this exciting opportunity provided by Leibniz Cooperative Excellence. Looking forward to new collaborations through this framework. Within this funding opportunity, we have one job opening for a PhD student or Postdoc: leibniz-fmp.softgarden.io/job/50703298?l…

Very happy and proud to see our collaborative work with Jörg Standfuss, Peter Hegemann and Igor Schapiro labs is published now in JACS: Structural Insights Into the Opening Mechanism of C1C2 Channelrhodopsin pubs.acs.org/doi/10.1021/ja…

The CECAM Flagship Workshop is coming to Madison, July 14-16, 2025! Hosted at datascience@uw (thanks!), organized by Greg Bowman, Bettina Keller, and me (CECAM-US-CENTRAL). We have slots for contributed talks - apply here (deadline: June 11): cecam.org/workshop-detai…

We are excited to present our DL model for bioactivity prediction using Cell Painting data. Please check out our new JCIM publication for details

The first paper from our ⁦SynPepBio⁩ graduate student! We assessed the performance of a high number of DFT functionals in predicting chemical shielding tensors and evaluated their impact on structure elucidation using anisotropic NMR data. pubs.acs.org/doi/10.1021/ac…

Semisupervised Contrastive Learning for Bioactivity Prediction Using Cell Painting Image Data pubs.acs.org/doi/10.1021/ac… Christopher Schmied HanSun_lab FMP Berlin #JCIM Vol65 Issue2 #MachineLearning #DeepLearning