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title: DeepMind's New AI Just Cracked The Code Of Life | daily.dev
description: An interview with a DeepMind scientist explores AlphaGenome, a machine learning model that predicts the effects of genome variation at base-pair resolution...
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og:description: An interview with a DeepMind scientist explores AlphaGenome, a machine learning model that predicts the effects of genome variation at base-pair resolution...
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# DeepMind's New AI Just Cracked The Code Of Life

**[Two Minute Papers](https://daily.dev/sources/twoninutepapers)** · 33 min read · 0 upvotes · 0 comments

## Summary

An interview with a DeepMind scientist explores AlphaGenome, a machine learning model that predicts the effects of genome variation at base-pair resolution across a 1-million base-pair context window, something no prior model (including its predecessor, Enformer) could achieve at that scale. It matched or beat the best comparison model in 25 of 26 variant effect benchmarks. The team also released AlphaGenome Atlas, a precomputed dataset of predicted effects for all possible single nucleotide variations across the human genome, 30 times larger than the AlphaFold database, free for non-commercial use with open model weights. The discussion covers transfer learning from training on both human and mouse genomes, the AlphaGenome Variant Impact Score for prioritizing variants, and future directions like cell and organism simulation.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.youtube.com/watch?v=Wkaw03p3BrM>

## Questions this post answers

### What is AlphaGenome and what does it predict?

AlphaGenome is a DeepMind machine learning model that predicts the effects of genome variation, such as single nucleotide changes, on molecular phenotypes like gene expression and splicing. It operates at base-pair resolution across a 1-million base-pair context window, the first model to combine that resolution with such a large window, and matched or beat the strongest comparison model in 25 of 26 variant effect benchmarks.

_Researchers evaluating genomics AI tools can follow model comparisons and benchmark results on daily.dev._

### What is AlphaGenome Atlas and how big is it compared to the AlphaFold database?

AlphaGenome Atlas is a precomputed, petabyte-scale dataset covering the predicted effects of all roughly 9 billion possible single nucleotide variations across the human genome. It is 30 times the size of the AlphaFold protein structure database and is made freely available to the scientific community for non-commercial research, including fine-tuning with released model weights.

_Developers tracking large-scale open scientific datasets can follow AI-for-science releases on daily.dev._

### Is AlphaGenome free to use and are the model weights available?

Yes, AlphaGenome is free for non-commercial use, following the same approach DeepMind took with AlphaFold 1 and AlphaFold 2. The model weights are publicly available so academic researchers can use and fine-tune the model for their own genomics research.

_Developers evaluating open-weight scientific models can keep track of new releases on daily.dev._

## Similar posts on daily.dev

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---

Tags: [#ai](https://daily.dev/tags/ai), [#machine-learning](https://daily.dev/tags/machine-learning)

[View this post on daily.dev](https://daily.dev/posts/deepmind-s-new-ai-just-cracked-the-code-of-life-ppgl9bjhl)

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