Meta AI creates first ever database of 600 million metagenomic structures

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'These structures provide an unprecedented view into the breadth and diversity of nature,' say the researchers. Find out more at 🚀

“Proteins are complex and dynamic molecules, encoded by our genes, that are responsible for many of the varied and fundamental processes of life. They have an astounding range of roles in biology,” wrote the Meta research team who also published a paper on the matter in the preprint database bioRxiv.

The discovery is made using a program called ESMFold with a model that was originally designed for decoding human languages. The finds have been compiled into the open-source ESM Metagenomic Atlas and could one day be used in the production of new drugs, the characterization of unknown microbial functions, and the discovery of evolutionary links between distantly related species.

The scientists' further state that their new atlas “is the largest database of high resolution predicted structures, 3x larger than any existing protein structure database, and the first to cover metagenomic proteins comprehensively and at scale.” “These structures provide an unprecedented view into the breadth and diversity of nature, and hold the potential for new scientific insights and to accelerate discovery of proteins for practical applications in fields such as medicine, green chemistry, environmental applications, and renewable energy,” concluded the research team.

 

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