September 8, 2026 Science Alpha Genome Atlas: A predictive map of every possible DNA letter change in the human genome How predicting the molecular impact of every possible single-letter DNA variant in the human genome will help accelerate our understanding of biology. Today, we are introducing Alpha Genome Atlas: a platform containing predictions for the effects of 9 billion single-nucleotide variants — every single-letter change possible — in the human genome. It is the most comprehensive catalogue of how genetic mutations affect molecular biology, and it is available for academic research through an intuitive and free-to-use website portal.

DNA is the language of life. Mastering it is a grand challenge that could transform our ability to understand biology and treat disease. But progress has been limited by a fundamental problem: interpreting how genetic variations impact biology at a molecular level.

With roughly 9 billion possible single-letter mutations in the human genome, testing each one in the lab is practically impossible. Google Deep Mind has already made progress on this challenge with Alpha Genome, an artificial intelligence (AI) model that can predict how genetic variants impact biological processes. Alpha Genome is helpful for analyzing specific variants and has found widespread use in research, but we wanted to show researchers a big-picture view of variants across the entire genome.

By precomputing Alpha Genome’s predictions at scale, we have created an easily accessible resource that vastly expands the model's reach. Just as an atlas is a collection of maps, linking together features of the land like altitude and location, Alpha Genome Atlas charts the molecular effects of DNA variants across the genome. To help scientists quickly find the most impactful genetic changes, we are also releasing the Alpha Genome Variant Impact (AVI) score.

The AVI combines the strengths of Alpha Genome and Alpha Missense — our model for predicting the impact of protein-altering DNA variants — condensing both models’ predictions into a single number. Now, researchers can rapidly rank variants and interpret their molecular effects at the same time. Our trusted external collaborators have already used Alpha Genome Atlas to identify and experimentally verify key variants in unsolved rare disease research and find rare variants associated with common traits.

Alpha Genome Atlas is available today through an intuitive website portal, our Alpha Genome API, and as a skill in Google Antigravity. Alpha Genome Atlas is a massive 1-petabyte dataset, more than 30 times larger than the Alpha Fold Database. When we expanded the Alpha Fold Database in 2022, we grew the 3D structure information available from around 190K experimental structures to more than 200M structure predictions — covering nearly all catalogued proteins known to science.

The database provided a portal that researchers with no coding experience could use, providing intuitive visualizations and making it easier to do large-scale protein structure analysis. It quickly became a crucial resource that drove discoveries across the life sciences and continues to accelerate researchers’ important work in countless fields. In building Alpha Genome Atlas, we also aspire to make predictions more accessible and give scientists an intuitive way to explore a vast dataset.

Alpha Genome Atlas provides several powerful, interconnected resources, allowing researchers to link variants directly to the functional DNA sequences they disrupt.