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Google's AI genome system evaluates every possible one-base change

9 September 2026 at 17:34

On Tuesday, Google announced AlphaGenome Atlas, a resource that attempts to predict the consequences of every possible single-base variant in the human genome. The human genome is about 3 billion bases long, so trying the other three DNA bases that don't appear in our reference genome means sending a total of 9 billion bases through AlphaGenome software.

AlphaGenome is designed to identify potential functions of non-coding DNA, which does not encode proteins but makes up the vast majority of the human genome. Some of this non-coding DNA is essential for controlling the activity of the protein-coding portion—it tells the cell where and when to make messenger RNAs, how to process them into mature protein-coding forms, and so on. But much of it appears to be little more than the remains of viruses and other molecular parasites.

Being able to identify the functional portion is very useful, as is having all the analysis done by a single software package. But until biologists start to use it heavily (assuming they do), it won't be clear what AlphaGenome offers beyond what we could have gotten out of its training data.

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Google's AI genome system evaluates every possible one-base change

9 September 2026 at 17:34

On Tuesday, Google announced AlphaGenome Atlas, a resource that attempts to predict the consequences of every possible single-base variant in the human genome. The human genome is about 3 billion bases long, so trying the other three DNA bases that don't appear in our reference genome means sending a total of 9 billion bases through AlphaGenome software.

AlphaGenome is designed to identify potential functions of non-coding DNA, which does not encode proteins but makes up the vast majority of the human genome. Some of this non-coding DNA is essential for controlling the activity of the protein-coding portion—it tells the cell where and when to make messenger RNAs, how to process them into mature protein-coding forms, and so on. But much of it appears to be little more than the remains of viruses and other molecular parasites.

Being able to identify the functional portion is very useful, as is having all the analysis done by a single software package. But until biologists start to use it heavily (assuming they do), it won't be clear what AlphaGenome offers beyond what we could have gotten out of its training data.

Read full article

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© Vertigo3D

Bats May Hold the Secret to Fighting Aging, Cancer, and Infection

Little Flying Bat ForestBats’ remarkable ability to withstand decades of strenuous flight while keeping infections, inflammation, and cancer in check may offer new clues to healthier human aging Bats are unusually long-lived for animals of their size. Small mammals generally burn energy quickly and die relatively young, yet some bats survive for several decades. Brandt’s myotis, Myotis brandtii, [...]

Scientists Map Genetics of Personality across Million People

3 September 2026 at 22:15
According to Professor Graur, the functional fraction within the human genome cannot exceed 25%, and is probably considerably lower.

Researchers have identified more than 1,200 locations in the human genome associated with personality traits, offering the most detailed look yet at the biological underpinnings of traits like sociability, anxiety and curiosity.

The post Scientists Map Genetics of Personality across Million People appeared first on Sci.News: Breaking Science News.

Large genome models used to design new viruses

6 August 2026 at 20:04

A lot of the AI work in biology has been focused on designing proteins. That's partly because proteins do most of the business of life, catalyzing the interesting chemistry and structuring cells. So, figuring out how to make a new protein can mean directly tinkering with biochemistry, providing new and potentially useful functions.

Since the genetic code provides a layer of abstraction between DNA and proteins, it wasn't obvious what a model trained on DNA could do. Yet people went ahead and made a large genome model, and it turned out to be able to output DNA sequences that could encode functional proteins in bacteria and mimic the gene structures found in complex cells. Now, those same models have been used to output the genomes of viruses that infect bacteria.

This isn't science fiction—all the viruses the models created are closely related to an existing virus. But they do have some distinct features that would be challenging to evolve. And the researchers who did the work, based at Stanford University, suggest we may want to start thinking now about preparing for the potential that someone could develop a related AI that can design a virus that targets vertebrates.

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Decades of Financial Hardship Linked to Faster Brain Aging

28 July 2026 at 20:13
Long-term financial stress accelerates age-related cognitive decline. Image credit: Thomas Breher.

A large British study spanning more than 70 years has found that people who experience chronic money struggles over their working lives show measurable declines in memory and processing speed by their 50s, along with signs of accelerated brain shrinkage decades later.

The post Decades of Financial Hardship Linked to Faster Brain Aging appeared first on Sci.News: Breaking Science News.

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