Happy to see our AlphaGenome model published in @Nature today and on the cover of this week’s issue. 🧬

AlphaGenome is an AI model for understanding the non-coding genome – the 98% of DNA that's crucial for health and disease but doesn't code for proteins.

Jan 28, 2026 · 4:35 PM UTC

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Since launching the API last summer, 3,000+ researchers across 160 countries have used AlphaGenome to study gene regulation and advance disease research.

Excited to see what the community discovers with the model code and weights now available for non-commercial research.
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Read the full announcement: [deepmind.google/blog/alphageno…]
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Access the code and weights: [github.com/google-deepmin…]
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Watch a deep dive from the team behind AlphaGenome: [youtu.be/V8lhUqKqzUc]
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@pushmeet @Nature Awesome to see! Congratulations, Pushmeet. The scientific model work at DeepMind is very inspiring stuff
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@pushmeet @Nature Great job - time to make some drugs!
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@pushmeet @Nature You can understand this @Nature paper in seconds chat.pageindex.ai/share/chat/cmk…
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@pushmeet @Nature very cool! 🤓
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@pushmeet @Nature Huge. Congratulations!! 👍
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@pushmeet @Nature Congrats on the cover! How do you see AlphaGenome changing our understanding of non-coding DNA in everyday health research?
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@pushmeet @Nature I'm excited, as always, to see what you've done. But I have to say that you've gone overboard with this: "the 98% of DNA that's crucial for health and disease but doesn't code for proteins." There's evidence only that a small percentage of the non-coding DNA impacts fitness.
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@pushmeet @Nature Is the Google Deepmind strategy for naming things just gonna be “Alpha(x)”? Anyway excellent work
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@pushmeet @Nature Much needed @pushmeet ! Congrats!
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