Cryo-EM combined with AI to advance our understanding of native cell extracts!

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

3 Replies to “Cryo-EM combined with AI to advance our understanding of native cell extracts!”

  1. Congratulations on your publication! Your work on AI-driven protein model prediction for interpreting complex cryo-EM data is groundbreaking. The collaboration with Grzegorz Chojnowski and the integration of advanced algorithms like findMySequence and Arp/Warp highlight the innovative approaches taken. This research is a significant advancement in structural biology. Kudos to you and your team!

  2. Exciting breakthrough! Cryo-EM and AI collaboration enhances understanding of native cell extracts, pushing structural biology to new heights.

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