Evidence map›Paper›PMID 42818156›Full record

ArticlebioRxiv : the preprint server for biology2026

Megascale recombination generates millions of catalytically competent PETases.

Pete Heinzelman, Hunter Nisonoff, Akosua Busia, Jennifer Listgarten, Philip A Romero

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Pete HeinzelmanDepartment of Biomedical Engineering, Duke University, Durham, NC, USA.
Hunter NisonoffDepartment of Electrical Engineering and Computer Science, University of California-Berkeley, Berkeley, CA USA.
Akosua BusiaDepartment of Electrical Engineering and Computer Science, University of California-Berkeley, Berkeley, CA USA.
Jennifer ListgartenDepartment of Electrical Engineering and Computer Science, University of California-Berkeley, Berkeley, CA USA.ORCID 0000-0002-6600-1431
Philip A RomeroDepartment of Biomedical Engineering, Duke University, Durham, NC, USA.ORCID 0000-0002-2586-7263

Funding

Data-driven analysis of protein structure, function, and regulationR35GM119854 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI ROMERO, PHILIP ANTHONY · 2016 to 2020
$1.9M
NIGMS NIH HHS R35 GM119854
6 · The paper itself

Abstract

Engineering proteins at the scale of modern high-throughput screening technologies remains challenging because most experimental libraries sample only limited regions of sequence space while maintaining relatively low levels of functional diversity. Although recombination-based strategies can introduce substantially larger sequence changes than conventional mutagenesis approaches, it is unclear whether highly recombined enzymes can retain catalytic competence when library sizes approach millions to billions of variants. To investigate this question, we constructed a recombination library by combining ten sequence blocks from ten bacterial PETases, generating a theoretical diversity of 10

Indexed as

high-throughput screeningPETaseprotein engineeringrecombination librariesyeast surface display

Identifiers

PMID42818156
PMCPMC13622059

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.