We welcome 2022 with our latest publication on Structure, on how the latest advances in AI-driven protein model prediction can help us in the interpretation of complex cryo-EM data from native cell extracts!
We are very excited about the impact of this work, as it is a prime example of how structural biologists can employ advanced AI tools to interpret their data, and how they can avoid any pitfalls during the process.
This work also was the result of a very fruitful collaboration with Grzegorz Chojnowski of EMBL Hamburg, the creator of the findMySequence algorithm as well as one of the main developpers of Arp/Warp!
You can read our publication here:
Cryo-EM and artificial intelligence visualize endogenous protein community members
Exciting breakthrough! Cryo-EM and AI collaboration enhances understanding of native cell extracts, pushing structural biology to new heights.
Fantastic insights! Integrating cryo-EM techniques with AI, as detailed in this article, highlights an exciting future for structural biology research. It reminds me of how tools like ChatGPT Deutsch can similarly enhance data analysis and interpretation, bridging complex computational approaches with practical scientific challenges. Great work—looking forward to seeing further advancements!