Evidence map›Paper›PMID 40069109›Full record

ArticleChembiochem : a European journal of chemical biology2025

Mining Thermophile Genomes for New PETases with Exceptional Thermostabilities Using Sequence Similarity Networks.

Zhenyu Hu, Kody Klupt, David L Zechel, Zongchao Jia, Graeme Howe

Abstract read
In one paragraph

Article in Chembiochem : a European journal of chemical biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Journal of chemical information and modeling · 2026
    Article
  5. EngineeringiScience · 2026
    Article
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.

Zhenyu HuDepartment of Chemistry, Queen's University, Kingston, ON, Canada.ORCID https://orcid.org/0000-0003-1178-0850
Kody KluptDepartment of Biomedical and Molecular Sciences, Queen's University, Kingston, ON, Canada.
David L ZechelDepartment of Chemistry, Queen's University, Kingston, ON, Canada.
Zongchao JiaDepartment of Biomedical and Molecular Sciences, Queen's University, Kingston, ON, Canada.
Graeme HoweDepartment of Chemistry, Queen's University, Kingston, ON, Canada.ORCID https://orcid.org/0000-0002-5976-0739

Funding

Genome CanadaNatural Sciences and Engineering Research Council of Canada
6 · The paper itself

Abstract

Enzymatic hydrolysis of polyethylene terephthalate (PET) is a promising technology for advancing a circular PET economy. Several PET-degrading α/β hydrolases have been identified, but the full potential of this enzyme family to catalyze PET hydrolysis remains largely unexplored. To address this, sequence similarity networks are employed to investigate the α/β hydrolase fold-5 subfamily (IPR029059) for new PETases. Priority is given to sequences from thermophiles, as thermostable enzymes are likely more suitable for industrial applications. Ten enzymes with ≈20% sequence identity to the well-known LCC-PETase are identified, and seven are successfully overexpressed and purified for in vitro characterization. Each enzyme catalyzes the hydrolysis of p-nitrophenyl butyrate, a mimic of trimeric PET, and emulsified PET nanoparticles. Notably, three enzymes are also capable of hydrolyzing PET films. Novel PETases exhibit melting temperatures (T

Indexed as

HydrolasesPolyethylene TerephthalatesAmino Acid SequenceEnzyme StabilityHydrolysisModels, MolecularTemperatureHydrolasesPolyethylene Terephthalatesbioinformaticsenzyme catalysispolyethylene terephthalate biodegradationsequence similarity networksthermostable

Identifiers

PMID40069109
PMCPMC12177695

What OpenQuestion holds

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LicenceCC BY-NC
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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.