Evidence map›Paper›PMID 22196731›Full record

ArticleCell2011

Hot spots for allosteric regulation on protein surfaces.

Kimberly A Reynolds, Richard N McLaughlin, Rama Ranganathan

Abstract read
In one paragraph

Article in Cell, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 216 papers.

0numbers the graph read from it
0cells of the map it votes in
216citing 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

216 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Origins of allostery in vertebrate hemoglobin evolution.bioRxiv : the preprint server for biology · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. SegDesign: A modular framework for controllable protein segment engineering.Protein science : a publication of the Protein Society · 2026
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Review
  20. Article

156 more citing papers are in PubMed but not listed here.

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.

Kimberly A ReynoldsGreen Center for Systems Biology and Department of Pharmacology, University of Texas Southwestern Medical Center, Dallas, TX 75390-9050, USA.
Richard N McLaughlin
Rama Ranganathan

Funding

Mechanistic analysis of dynamic scaffolding in a cellular signaling networkR01EY018720 · NEI · UT SOUTHWESTERN MEDICAL CENTER · PI RANGANATHAN, RAMA · 2007 to 2012
$1.8M
NEI NIH HHS 1R01 EY018720NEI NIH HHS R01 EY018720
6 · The paper itself

Abstract

Recent work indicates a general architecture for proteins in which sparse networks of physically contiguous and coevolving amino acids underlie basic aspects of structure and function. These networks, termed sectors, are spatially organized such that active sites are linked to many surface sites distributed throughout the structure. Using the metabolic enzyme dihydrofolate reductase as a model system, we show that: (1) the sector is strongly correlated to a network of residues undergoing millisecond conformational fluctuations associated with enzyme catalysis, and (2) sector-connected surface sites are statistically preferred locations for the emergence of allosteric control in vivo. Thus, sectors represent an evolutionarily conserved "wiring" mechanism that can enable perturbations at specific surface positions to rapidly initiate conformational control over protein function. These findings suggest that sectors enable the evolution of intermolecular communication and regulation.

Indexed as

Allosteric RegulationModels, MolecularEscherichia coliEvolution, MolecularPDZ DomainsProteinsTetrahydrofolate DehydrogenaseProteinsTetrahydrofolate Dehydrogenase

Identifiers

PMID22196731
PMCPMC3414429

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.