It was very exciting for us to see the community’s interest on our latest publication!
You can follow the discussion on how Cryo-EM and AI can help visualize endogenous protein community members from native cell extracts here:
Press release of Martin-Luther University of Halle-Wittenberg
You can also check Uni Halle’s posts on Instagram and Twitter on our achievement, as well as follow the discussion in Twitter by our own post!
Stay tuned for more amazing work from our lab!
Enjoyed reading the article above, really explains everything in detail, and the article is very interesting and effective. Thank you and good luck with the upcoming articles.
That’s a fascinating look at the intersection of cryo-EM and AI! It’s exciting to see how these advancements are making such a significant impact. I wonder how tools like DeepSeek at DeepSeekDeutsch.io could further contribute to the analysis and interpretation of this complex data.
It’s truly inspiring to see how the integration of Cryo-EM and artificial intelligence is revolutionizing structural biology, especially in studying protein interactions within native cell extracts. The team’s pioneering work not only advances our understanding of intracellular processes but also showcases the power of combining cutting-edge imaging with modern computational tools. Congratulations to the entire group for this outstanding contribution and the well-deserved recognition in the media. Looking forward to more exciting discoveries from your lab!
Incredible achievement! Combining Cryo-EM and AI to visualize native protein communities is a major step forward in structural biology. It’s great to see broader attention from platforms like Eurekalert and Medica. Tools like DeepSeek AI could further enhance interpretation and discovery from such complex data. Looking forward to more groundbreaking work from your lab – this is just the beginning!