Evidence map›Paper›PMID 22004749›Full record

ArticleBiophysical journal2011

GxxxG motifs, phenylalanine, and cholesterol guide the self-association of transmembrane domains of ErbB2 receptors.

Anupam Prakash, Lorant Janosi, Manolis Doxastakis

Open access · bronzeAbstract read
In one paragraph

Article in Biophysical journal, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
1.6field-weighted citation impact, top 18% of its field
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

23 citing papers in PubMed, 52 citations in OpenAlex.

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  17. N-Glycosylation as determinant of epidermal growth factor receptor conformation in membranes.Proceedings of the National Academy of Sciences of the United States of America · 2015
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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 at 1 institution in 1 country.

Anupam PrakashDepartment of Chemical and Biomolecular Engineering, University of Houston, Houston, Texas, USA.
Lorant Janosi
Manolis Doxastakis
University of Houston · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

GxxxG motifs are common in transmembrane domains of membrane proteins and are often introduced to artificial peptides to inhibit or promote association to stable structures. The transmembrane domain of ErbB2 presents two separate such motifs that are proposed to be connected to stability and activity of the dimer. Using molecular simulations, we show that these sequences play a critical role during the recognition stage, forming transient complexes that lead to stable dimers. In pure phospholipid bilayers association occurs by contacts formed at the C-terminus promoted by the presence of phenylalanine residues. Helices subsequently rotate to eventually pack at short separations favored by lipid entropic contributions. In contrast, at intermediate cholesterol concentrations, a different pathway is followed that involves dimers with a weaker interface toward the N-terminus. However, at high cholesterol content, a switch toward the C-terminus is observed with an overall nonmonotonic change of the dimerization affinity. This conformational switch modulated by cholesterol has important implications on the thermodynamic, structural, and kinetic characteristics of helix-helix association in lipid membranes.

Indexed as

PhenylalanineProtein MultimerizationAmino Acid MotifsAmino Acid SequenceCell MembraneCholesterolErb-b2 Receptor Tyrosine KinasesKineticsMolecular Dynamics SimulationMolecular Sequence DataProtein Structure, QuaternaryProtein Structure, TertiarySignal TransductionThermodynamicsCholesterolErb-b2 Receptor Tyrosine KinasesPhenylalanine

Identifiers

PMID22004749
PMCPMC3192960
OpenAlexW2012513213

What OpenQuestion holds

Textmetadata
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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.