Evidence map›Paper›PMID 38713696›Full record

ReviewProtein engineering, design & selection : PEDS2024

Improving plastic degrading enzymes via directed evolution.

Yvonne Joho, Vanessa Vongsouthi, Chloe Gomez, Joachim S Larsen, Albert Ardevol, Colin J Jackson

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Protein engineering, design & selection : PEDS, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. 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

6 authors.

Yvonne JohoManufacturing, Commonwealth Scientific and Industrial Research Organisation, Research Way, Clayton, Victoria 3168, Australia.
Vanessa VongsouthiResearch School of Chemistry, Australian National University, Sullivans Creek Rd, Canberra, ACT 2601, Australia.
Chloe GomezResearch School of Chemistry, Australian National University, Sullivans Creek Rd, Canberra, ACT 2601, Australia.
Joachim S LarsenResearch School of Chemistry, Australian National University, Sullivans Creek Rd, Canberra, ACT 2601, Australia.
Albert ArdevolManufacturing, Commonwealth Scientific and Industrial Research Organisation, Research Way, Clayton, Victoria 3168, Australia.
Colin J JacksonResearch School of Chemistry, Australian National University, Sullivans Creek Rd, Canberra, ACT 2601, Australia.

Funding

Advanced Engineering Biology FSPCSIRO Manufacturing BURIoTS CoP S-00246-07
6 · The paper itself

Abstract

Plastic degrading enzymes have immense potential for use in industrial applications. Protein engineering efforts over the last decade have resulted in considerable enhancement of many properties of these enzymes. Directed evolution, a protein engineering approach that mimics the natural process of evolution in a laboratory, has been particularly useful in overcoming some of the challenges of structure-based protein engineering. For example, directed evolution has been used to improve the catalytic activity and thermostability of polyethylene terephthalate (PET)-degrading enzymes, although its use for the improvement of other desirable properties, such as solvent tolerance, has been less studied. In this review, we aim to identify some of the knowledge gaps and current challenges, and highlight recent studies related to the directed evolution of plastic-degrading enzymes.

Indexed as

Directed Molecular EvolutionProtein EngineeringEnzymesPlasticsPolyethylene TerephthalatesEnzymesPlasticsPolyethylene TerephthalatesDirected evolutionPET-hydrolasesPlastic-degrading enzymesProtein engineering

Identifiers

PMID38713696
PMCPMC11091475

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.