Evidence map›Paper›PMID 38218974›Full record

ArticleScientific reports2024

Two-substrate enzyme engineering using small libraries that combine the substrate preferences from two different variant lineages.

Arka Mukhopadhyay, Kersti Karu, Paul A Dalby

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.1field-weighted citation impact, top 14% of its field
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

3 citing papers in PubMed, 9 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Arka MukhopadhyayDepartment of Biochemical Engineering, UCL, Bernard Katz Building, Gower Street, London, WC1E 6BT, UK.
Kersti KaruDepartment of Chemistry, UCL, 20 Gordon Street, London, WC1H 0AJ, UK.
Paul A DalbyDepartment of Biochemical Engineering, UCL, Bernard Katz Building, Gower Street, London, WC1E 6BT, UK. p.dalby@ucl.ac.uk.
University College London · GB

Funding

Engineering and Physical Sciences Research Council EP/P006485/1Marie Skłodowska-Curie Individual Fellowship 795539
6 · The paper itself

Abstract

Improving the range of substrates accepted by enzymes with high catalytic activity remains an important goal for the industrialisation of biocatalysis. Many enzymes catalyse two-substrate reactions which increases the complexity in engineering them for the synthesis of alternative products. Often mutations are found independently that can improve the acceptance of alternatives to each of the two substrates. Ideally, we would be able to combine mutations identified for each of the two alternative substrates, and so reprogramme new enzyme variants that synthesise specific products from their respective two-substrate combinations. However, as we have previously observed for E. coli transketolase, the mutations that improved activity towards aromatic acceptor aldehydes, did not successfully recombine with mutations that switched the donor substrate to pyruvate. This likely results from several active site residues having multiple roles that can affect both of the substrates, as well as structural interactions between the mutations themselves. Here, we have designed small libraries, including both natural and non-natural amino acids, based on the previous mutational sites that impact on acceptance of the two substrates, to achieve up to 630× increases in k

Indexed as

Escherichia coliPyruvatesCatalytic DomainKineticsMutagenesis, Site-DirectedSubstrate SpecificityPyruvates

Identifiers

PMID38218974
PMCPMC10787763
OpenAlexW4390859236

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.