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

11 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.

  3. This is an excellent demonstration of AI’s role in structural biology, especially in complex cryo-EM data interpretation. The integration of AI-driven tools, like findMySequence, shows promising results. For researchers, even lightweight AI like ChatGPT-o3 Mini, available for free at GPTJP.net, can offer valuable insights during data analysis and hypothesis generation.

  4. 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!

  5. This is a fascinating read! The integration of cryo-EM with AI truly opens new doors in structural biology. It’s exciting to see how artificial intelligence is accelerating discoveries at the molecular level. For those interested in AI applications beyond structural analysis, tools like https://gptopenai.fr/ are also helping researchers generate insights, summaries, and technical drafts in multiple languages, including French. Great work—looking forward to more updates from your lab!

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