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
Such a well-produced piece of content.
This was futuristic i loved reading it all.
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Really fascinating read! I’m always impressed by how fields like structural biology and AI can merge — the way cryo-EM data from native cell extracts is enhanced with AI-driven modelling shows just how fast scientific tools are evolving. It got me thinking about identity systems in another context: just as accurate and trusted identity makes a huge difference in biology, in the Philippines the national id initiative is doing the same – one unified ID helps streamline many services and proves identity reliably. Looking forward to seeing where both science and systems go next!