Evidence map›Paper›PMID 17963239›Full record

ArticleProteins2008

Influence of oligomerization on the dynamics of G-protein coupled receptors as assessed by normal mode analysis.

Masha Y Niv, Marta Filizola

Abstract read
In one paragraph

Article in Proteins, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Elastic Network Models are Robust to Variations in Formalism.Journal of chemical theory and computation · 2012
    Article
  5. Article
  6. Review
  7. Article
  8. 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

2 authors.

Masha Y NivDepartment of Physiology and Biophysics, Weill Medical College of Cornell University, New York, NY, USA.
Marta Filizola

Funding

OPIOID RECEPTOR OLIGOMERIZATION: PREDICTION & VALIDATIONR01DA020032 · NIDA · WEILL MEDICAL COLL OF CORNELL UNIV · PI FILIZOLA, MARTA · 2006 to 2010
$1.5M
INFORMATICS OF GPCR DIMERS IN DRUG ABUSE MECHANISMSR21DA017976 · NIDA · WEILL MEDICAL COLL OF CORNELL UNIV · PI FILIZOLA, MARTA · 2005 to 2009
$1.3M
NIDA NIH HHS DA017976NIDA NIH HHS DA020032NIDA NIH HHS R01 DA020032NIDA NIH HHS R21 DA017976
6 · The paper itself

Abstract

The recently discovered impact of oligomerization on G-protein coupled receptor (GPCR) function further complicates the already challenging goal of unraveling the molecular and dynamic mechanisms of these receptors. To help understand the effect of oligomerization on the dynamics of GPCRs, we have compared the motion of monomeric, dimeric, and tetrameric arrangements of the prototypic GPCR rhodopsin, using an approximate-yet powerful-normal mode analysis (NMA) technique termed elastic network model (ENM). Moreover, we have used ENM to discriminate between putative dynamic mechanisms likely to account for the recently observed conformational rearrangement of the TM4,5-TM4,5 dimerization interface of GPCRs that occurs upon activation. Our results indicate: (1) significant perturbation of the normal modes (NMs) of the rhodopsin monomer upon oligomerization, which is mainly manifested at interfacial regions; (2) increased positive correlation among the transmembrane domains (TMs) and between the extracellular loop (EL) and TM regions of the rhodopsin protomer; (3) highest interresidue positive correlation at the interfaces between protomers; and (4) experimentally testable hypotheses of differential motional changes within different putative oligomeric arrangements.

Indexed as

Computer SimulationDimerizationElasticityModels, ChemicalModels, MolecularProtein ConformationProtein Structure, QuaternaryRhodopsinRhodopsin

Identifiers

PMID17963239
PMCPMC3489929

What OpenQuestion holds

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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.