Evidence map›Paper›PMID 28600532›Full record

ArticleScientific reports2017

Conserved amino acid networks modulate discrete functional properties in an enzyme superfamily.

Chitra Narayanan, Donald Gagné, Kimberly A Reynolds, Nicolas Doucet

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Clustering protein functional families at large scale with hierarchical approaches.Protein science : a publication of the Protein Society · 2024
    Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Engineered control of enzyme structural dynamics and function.Protein science : a publication of the Protein Society · 2018
    Review
  14. Article
  15. 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

4 authors.

Chitra NarayananINRS - Institut Armand Frappier, Université du Québec, 531 Boulevard des Prairies, Laval, QC, H7V 1B7, Canada.
Donald GagnéINRS - Institut Armand Frappier, Université du Québec, 531 Boulevard des Prairies, Laval, QC, H7V 1B7, Canada.
Kimberly A ReynoldsGreen Center for Systems Biology, UT Southwestern Medical Center, Dallas, TX, 75390, USA. kimberly.reynolds@utsouthwestern.edu.
Nicolas DoucetINRS - Institut Armand Frappier, Université du Québec, 531 Boulevard des Prairies, Laval, QC, H7V 1B7, Canada. nicolas.doucet@iaf.inrs.ca.ORCID 0000-0002-1952-9380

Funding

Conformational sub-states in enzyme catalysis: Applications to ribonucleaseR01GM105978 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI AGARWAL, PRATUL K, CHENNUBHOTLA, SRINIVAS CHAKRA · 2014 to 2018
$2.8M
NIGMS NIH HHS R01 GM105978
6 · The paper itself

Abstract

In this work, we applied the sequence-based statistical coupling analysis approach to characterize conserved amino acid networks important for biochemical function in the pancreatic-type ribonuclease (ptRNase) superfamily. This superfamily-wide analysis indicates a decomposition of the RNase tertiary structure into spatially distributed yet physically connected networks of co-evolving amino acids, termed sectors. Comparison of this statistics-based description with new NMR experiments data shows that discrete amino acid networks, termed sectors, control the tuning of distinct functional properties in different enzyme homologs. Further, experimental characterization of evolutionarily distant sequences reveals that sequence variation at sector positions can distinguish homologs with a conserved dynamic pattern and optimal catalytic activity from those with altered dynamics and diminished catalytic activities. Taken together, these results provide important insights into the mechanistic design of the ptRNase superfamily, and presents a structural basis for evolutionary tuning of function in functionally diverse enzyme homologs.

Indexed as

Sequence Homology, Amino AcidAmino AcidsAmino Acid SequenceConserved SequenceHumansNuclear Magnetic Resonance, BiomolecularProtein Structure, TertiaryRibonuclease, PancreaticAmino AcidsRibonuclease, Pancreatic

Identifiers

PMID28600532
PMCPMC5466627

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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.