Evidence map›Paper›PMID 24391951›Full record

ArticlePloS one2013

Multiple co-evolutionary networks are supported by the common tertiary scaffold of the LacI/GalR proteins.

Daniel J Parente, Liskin Swint-Kruse

Abstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Genome-Wide Identification and Characterization ofMolecules (Basel, Switzerland) · 2022
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Rheostat positions: A new classification of protein positions relevant to pharmacogenomics.Medicinal chemistry research : an international journal for rapid communications on design and mechanisms of action of biologically active agents · 2020
    Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Engineering allostery.Trends in genetics : TIG · 2014
    Review
  19. 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

2 authors.

Daniel J ParenteDepartment of Biochemistry and Molecular Biology, The University of Kansas Medical Center, Kansas City, Kansas, United States of America.
Liskin Swint-KruseDepartment of Biochemistry and Molecular Biology, The University of Kansas Medical Center, Kansas City, Kansas, United States of America.

Funding

Functional effects of exchanging domains and linkers in transcription regulatorsR01GM079423 · NIGMS · UNIVERSITY OF KANSAS MEDICAL CENTER · PI SWINT-KRUSE, LISKIN · 2007 to 2011
$1.6M
NIGMS NIH HHS NIH GM 079423NIGMS NIH HHS R01 GM079423
6 · The paper itself

Abstract

Protein families might evolve paralogous functions on their common tertiary scaffold in two ways. First, the locations of functionally-important sites might be "hard-wired" into the structure, with novel functions evolved by altering the amino acid (e.g. Ala vs Ser) at these positions. Alternatively, the tertiary scaffold might be adaptable, accommodating a unique set of functionally important sites for each paralogous function. To discriminate between these possibilities, we compared the set of functionally important sites in the six largest paralogous subfamilies of the LacI/GalR transcription repressor family. LacI/GalR paralogs share a common tertiary structure, but have low sequence identity (≤ 30%), and regulate a variety of metabolic processes. Functionally important positions were identified by conservation and co-evolutionary sequence analyses. Results showed that conserved positions use a mixture of the "hard-wired" and "accommodating" scaffold frameworks, but that the co-evolution networks were highly dissimilar between any pair of subfamilies. Therefore, the tertiary structure can accommodate multiple networks of functionally important positions. This possibility should be included when designing and interpreting sequence analyses of other protein families. Software implementing conservation and co-evolution analyses is available at https://sourceforge.net/projects/coevolutils/.

Indexed as

Evolution, MolecularModels, MolecularPhylogenyBase SequenceCatalytic DomainConserved SequenceEscherichia coli ProteinsLac RepressorsModels, GeneticMolecular Sequence DataMultigene FamilyProtein ConformationRepressor ProteinsSequence AlignmentSoftwareEscherichia coli ProteinsGalactose repressor proteinsLac RepressorsRepressor Proteins

Identifiers

PMID24391951
PMCPMC3877293

What OpenQuestion holds

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LicenceCC BY
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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.