AI model proposes millions of gene candidates across 22,617 species
The authors announced Carbon-A, an AI model and database that, they say, identified 566.34 million gene candidates across 22,617 species. Some were tested in the laboratory in cats, chickens and Arabidopsis. The results have not yet been peer reviewed.
Source: AI model proposes millions of gene candidates across 22,617 species (x.com). Summary written with AI from the source and reviewed by rules; read the original.
What the research shows
According to the article, the authors announced Carbon-A, an artificial intelligence model and database that, they say, identified 566.34 million gene candidates across 22,617 species. Some of these candidates were tested in the laboratory in cats, chickens and Arabidopsis, a plant widely used in research.
Gene annotation, meaning identifying where genes are and what they may do, is a basic step in biology. A tool covering so many species could help future research. However, the results have not yet been peer reviewed, so they should be read as preliminary. A large number of candidates is not the same as confirmed genes, since each candidate needs independent testing before it can be validated.
What it means
This research suggests that artificial intelligence could speed up gene identification across many species. It is still unknown how many candidates are truly functional genes, or how accurately the tool works in each species. The figures come from the authors themselves and await peer review.
How to read it with care
This announcement describes a research tool and does not change clinical practice. It does not replace a medical consultation. Anyone with questions about health, diet, supplements or treatment should talk to a doctor or another qualified professional.