Google DeepMind is launching a new AI tool, AlphaGenome, which can create entirely new “designer” DNA in humans

The following report is a blog post from Google DeepMind (excerpts):

The genome is the instruction manual for our cells. It is the complete set of DNA that controls virtually every part of a living organism, from appearance and function to growth and reproduction. Small variations in the DNA sequence of a genome can alter an organism’s response to its environment or its susceptibility to disease. But deciphering how the instructions of the genome are read at the molecular level – and what is going on when a small DNA variation occurs – remains one of biology’s greatest mysteries.

Today we are introducing AlphaGenome, a new artificial intelligence (AI) tool that more comprehensively and accurately predicts how individual variants or mutations in human DNA sequences affect a wide range of biological processes that regulate genes. This has been made possible, in part, by technological advances that allow the model to process long DNA sequences and deliver high-resolution predictions.

To advance scientific research, we are making AlphaGenome available in a preview version for non-commercial research purposes via our AlphaGenome API and plan to publish the model in the future.

“This is a milestone for this field. For the first time, we have a single model that combines broad context, fundamental precision, and state-of-the-art performance for a whole spectrum of genomic tasks.” – Dr. Caleb Lareau, Memorial Sloan Kettering Cancer Center

Our AlphaGenome model takes a long DNA sequence as input – up to 1 million letters, also known as base pairs – and predicts thousands of molecular properties that characterize its regulatory activity. It can also assess the effects of genetic variants or mutations by comparing predictions of mutated sequences with those of non-mutated sequences.

The predicted properties include where genes begin and end in different cell types and tissues, where they are spliced, the amount of RNA produced, and also which DNA bases are accessible, located close to each other, or bound to specific proteins.

Our model analyses up to 1 million DNA base pairs and makes predictions with single-letter resolution. The context of long sequences is important to cover regions that regulate genes from a great distance, and base resolution is important to capture fine-grained biological details.

By enabling high-resolution predictions for long input sequences, AlphaGenome can predict a wide variety of modalities. In this way, AlphaGenome provides scientists with more comprehensive information about the complex steps of gene regulation.

In addition to predicting a multitude of molecular properties, AlphaGenome can efficiently assess the impact of a genetic variant on all these properties within seconds. To do this, it compares the predictions of mutated sequences with those of unmutated sequences and efficiently summarizes this contrast using different approaches for different modalities.

Many rare genetic disorders, such as spinal muscular atrophy and some forms of cystic fibrosis, can be caused by errors in RNA splicing – a process in which parts of the RNA molecule are removed or “cut out,” and the remaining ends are rejoined. For the first time, AlphaGenome can explicitly model the position and expression level of these splicing sites directly from the sequence, thus providing deeper insights into the impact of genetic variants on RNA splicing.

AlphaGenome’s predictive capabilities could support several research approaches:

• Understanding Diseases: By making more accurate predictions of genetic disorders, AlphaGenome could help researchers pinpoint the potential causes of diseases more precisely and better interpret the functional effects of variants associated with specific traits, potentially leading to the discovery of new therapeutic approaches. We believe the model is particularly well-suited for investigating rare variants with potentially large impacts, such as those that cause rare Mendelian diseases.
• Synthetic biology: His predictions could serve as a guide for the construction of synthetic DNA with specific regulatory functions – for example, to activate a gene only in nerve cells, but not in muscle cells.
• Basic research: It could accelerate our understanding of the genome by helping to map its crucial functional elements and define their roles, and by identifying the key DNA instructions for regulating the function of a given cell type.

“AlphaGenome will be a powerful tool in this field. Determining the relevance of different non-coding variants can be a major challenge, especially at scale. This tool will make a crucial contribution and allow us to establish better connections to better understand diseases such as cancer.” – Professor Marc Mansour, University College London

Conclusion

Do you remember the movie called GATTACA (referring to the four building blocks of DNA)? It depicted a dystopian world where transhumanism and eugenics were considered normal, selective DNA breeding was practiced, and people with good genes were discriminated against compared to those with bad genes.

We are getting closer and closer to a world where enhancement and the creation of designer babies are becoming the norm…….

People like Yuval Noah Harari believe that such a future would be great and represents the next phase of human “evolution,” and that we are hackable beings without soul or spirit.

yogaesoteric
March 11, 2026