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Designed from scratch, 13 of 69 cysteine proteases cut the peptide backbone

Researchers report in Nature that 13 of 69 de novo cysteine proteases, a 19% success rate, hydrolysed the polypeptide backbone. Measured as kcat/kuncat, the rate enhancement over the uncatalysed reaction reached up to 3 x 10^7.

The Scientist · Science desk

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What happened

  • Earlier de novo enzyme design had succeeded largely on low-energy-barrier model reactions, not on the stable amide bonds of the peptide backbone.
  • The new enzymes use an activated cysteine nucleophile and cut the polypeptide backbone in a sequence-dependent manner.
  • According to the abstract, the designed proteases efficiently cleave their targets in mammalian cells.

Why it matters

  • What it costs cost At a 19% hit rate a lab needs roughly five designs expressed and assayed per working protease, a screening cost that may differ for other target sequences.
  • What it limits constraint A ratio over a background that takes centuries is not an absolute rate, and the admitted gap to native enzymes limits uses that depend on fast turnover.
  • What's now possible capability Deposited coordinates and public design code let other groups rerun the pipeline and test whether the hit rate carries to their own target sequences.

The 19% needs its denominator. Thirteen of 69 is 18.8% [12], which leaves 56 designs that did not meet the paper's success criterion [13]. The abstract never defines that criterion, and it leaves the 3 x 10^7 figure unplaced among the 13 working enzymes. The paper reports rate enhancements of up to that value [5], and "up to" describes the best design, not a typical one.

At this hit rate, a lab would express and assay about five designs for each working enzyme [14]. Whether the rate holds for a new target sequence, the abstract does not say.

The structural result is the cleaner one. The designed proteases have folds very different from natural proteases, with a TM score below 0.50 [6]. In our reading, that rules out lightly edited copies of a natural scaffold. Six crystal structures sit within 1.2 Angstrom Ca RMSD of the design models [7]. Each one checks directly whether the method placed atoms where it said it would. The coordinates are public under six PDB accession codes [10], and the design code is on GitHub [11].

Rate enhancement is a ratio against a background reaction, and that background is extremely slow: amide bonds are stable for hundreds of years in neutral aqueous solution [2]. The ratio can be large while the enzyme itself stays slow. The authors say a gap remains to the most active native cysteine proteases and trace it to imperfect active-site preorganization and substrate positioning [8]. None of this gives absolute turnover. Absolute turnover sets how much substrate an enzyme processes per unit time in a cell or a reactor.

The mammalian-cell claim has the same limit. The abstract says the designed proteases efficiently cleave their targets in mammalian cells, and the authors write that this opens the door to a wide range of synthetic biology applications [9]. It does not disclose the targets, the cell types or the extent of cleavage. The cleavage is described as sequence-dependent [3], but a purified-enzyme assay does not measure cutting at unintended sites inside a cell. For a tool meant to cut one chosen sequence, unintended cleavage is the bottleneck a user will hit.

We think the structures are the firm result: they are verifiable, and the coordinates are deposited. The activity numbers deserve a looser hold until absolute rates and the cell data can be read in full. That view is conditional on the paper's methods matching its abstract, which we have not been able to check beyond the abstract.

What to watch

  • Absolute turnover numbers and the criterion for counting a design as a success, once the full paper is read.
  • Cell data on which targets were cut, in which cell types, and how much unintended cleavage occurred.
  • Independent labs reporting hit rates from the public GitHub pipeline on different substrates.

Clarity's read

What the record supports and how the coverage leans. The claims behind it follow.

Reality

Evidence78
Adoption
Not scored
Hype gap+15
Incentives
Not scored
Confidence70
Why these scores

Claim ledger

Ranked by verification strength, evidence, and original report placement.

  1. [1]

    Despite advances in de novo enzyme design, success has been largely limited to low-energy-barrier model reactions.

    Reported SupportedView cited source
  2. [2]

    Amide bonds such as those linking amino acids along the peptide backbone are stable for hundreds of years in neutral aqueous solution because of the high energy barrier to hydrolysis.

    Reported SupportedView cited source
  3. [3]

    The designed enzymes use an activated cysteine nucleophile to hydrolyse the polypeptide backbone in a sequence-dependent manner.

    Reported SupportedView cited source

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Sources

1 independent publisher whose own reporting we read for this story.

  1. nature.com

    1 article · October 13, 2026

    De novo design of cysteine proteases

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