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You are here: Home / Artificial Intelligence / AI-driven analysis reveals new proteins from the deep ocean

AI-driven analysis reveals new proteins from the deep ocean

July 7, 2026 by Grace Gourlay

A study published in Nature has mapped millions of genes from deep-sea microorganisms collected at hydrothermal vents, methane seeps and deep-ocean trenches. The work revealed an unexpected level of genetic diversity, with researchers reporting that more than 60% of the proteins identified had not previously appeared in public DNA databases.

Finding them was only part of the challenge. The team combined large-scale DNA sequencing with AI-based protein prediction tools to examine datasets that would have been impractical to analyse manually. Instead of testing proteins individually, machine-learning models helped identify structures and functions worth investigating in the laboratory.

Among the most promising discoveries was a previously unknown form of the gene-editing enzyme Cas9. Isolated from microorganisms living around hydrothermal vents, the enzyme remains stable at temperatures above 70°C. That level of thermal stability could prove valuable for industrial bioprocessing, where high operating temperatures often reduce enzyme performance, and could also broaden future applications for genome editing.

The findings also add weight to a growing area of engineering research: learning from biological systems rather than simply copying them. Materials capable of withstanding extreme pressure, proteins that remain stable under harsh conditions and naturally efficient molecular structures all provide useful starting points for new designs.

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Potential applications extend well beyond biotechnology. Pressure-resistant materials could influence subsea equipment, autonomous underwater vehicles and offshore infrastructure, while advances in protein engineering may support more efficient manufacturing processes, new catalysts and environmental monitoring technologies.

The deep ocean is still largely unexplored, meaning discoveries like these are unlikely to be the last. As AI makes it possible to analyse increasingly complex biological datasets, engineers are gaining access to design principles that have evolved over millions of years in some of the planet’s most demanding environments.

The research has been published in Cell Host & Microbe and was reported by The Conversation.

Filed Under: Artificial Intelligence, Biotechnology, Materials

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