Journal of the AI UniverseDaily AI News UpdatesCharting the universe of AI with the evidence behind it

Evidence Passport

AI designs protein-cutting enzymes from scratch

Top story 5 in the issue of 22 October 2026, in 32 AI Biotechnology.

Original source

AI designs protein-cutting enzymes from scratch

Of 135 designed metalloproteases, 36% were active, with rate gains above 10^8-fold; a companion paper made cysteine proteases with a 19% success rate.

Evidence

Evidence: Peer-reviewed (evidence step 5 of 6)

Published after review by independent experts.

Bottleneck: Designing enzymes with new catalytic activity Progress

The story in three lines

Key finding
36% of 135 computer-designed metalloproteases were active, speeding reactions by more than 10^8-fold.
Significance
Technical: designing enzymes that cut proteins has been a long-standing hurdle for protein design.
Takeaway
A major laboratory advance; therapeutic or industrial use still needs stability and safety work.

Later coverage in the journal

No later coverage in the journal yet.

Corrections and updates

No corrections or updates recorded for this item.

This page is generated from the issue and stays at the same address. It adds nothing that is not in the issue, the source link or the corrections log.