Evidence map›Paper›PMID 22807670›Full record

ArticlePLoS computational biology2012

Rational engineering of enzyme allosteric regulation through sequence evolution analysis.

Jae-Seong Yang, Sang Woo Seo, Sungho Jang, Gyoo Yeol Jung, Sanguk Kim

Abstract read
In one paragraph

Article in PLoS computational biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

39 citing papers in PubMed.

  1. Article
  2. Article
  3. Resistance to Allosteric Inhibitors.Journal of molecular biology · 2025
    Review
  4. Review
  5. Review
  6. Article
  7. Article
  8. Review
  9. Allosteric regulation and inhibition of protein kinases.Biochemical Society transactions · 2023
    Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Functional plasticity and evolutionary adaptation of allosteric regulation.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  18. Review
  19. Integrated Computational Approaches and Tools forAllosteric Drug Discovery.International journal of molecular sciences · 2020
    Review
  20. Review
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.

Jae-Seong YangSchool of Interdisciplinary Bioscience and Bioengineering, Pohang University of Science and Technology, Pohang, Gyeongbuk, Korea.
Sang Woo Seo
Sungho Jang
Gyoo Yeol Jung
Sanguk Kim

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Control of enzyme allosteric regulation is required to drive metabolic flux toward desired levels. Although the three-dimensional (3D) structures of many enzyme-ligand complexes are available, it is still difficult to rationally engineer an allosterically regulatable enzyme without decreasing its catalytic activity. Here, we describe an effective strategy to deregulate the allosteric inhibition of enzymes based on the molecular evolution and physicochemical characteristics of allosteric ligand-binding sites. We found that allosteric sites are evolutionarily variable and comprised of more hydrophobic residues than catalytic sites. We applied our findings to design mutations in selected target residues that deregulate the allosteric activity of fructose-1,6-bisphosphatase (FBPase). Specifically, charged amino acids at less conserved positions were substituted with hydrophobic or neutral amino acids with similar sizes. The engineered proteins successfully diminished the allosteric inhibition of E. coli FBPase without affecting its catalytic efficiency. We expect that our method will aid the rational design of enzyme allosteric regulation strategies and facilitate the control of metabolic flux.

Indexed as

Evolution, MolecularAdenosine MonophosphateAllosteric RegulationAmino Acid SequenceCatalytic DomainComputational BiologyEscherichia coli ProteinsFructose-BisphosphataseGlucose-6-PhosphateHydrophobic and Hydrophilic InteractionsModels, MolecularMolecular Sequence DataMutationProtein EngineeringSequence Analysis, ProteinAdenosine MonophosphateEscherichia coli ProteinsFructose-BisphosphataseGlucose-6-Phosphate

Identifiers

PMID22807670
PMCPMC3395594

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.