Evidence map›Paper›PMID 25650178›Full record

ArticleThe Journal of membrane biology2015

Membrane Association of the Diphtheria Toxin Translocation Domain Studied by Coarse-Grained Simulations and Experiment.

Jose C Flores-Canales, Mauricio Vargas-Uribe, Alexey S Ladokhin, Maria Kurnikova

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In one paragraph

Article in The Journal of membrane biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

4 authors.

Jose C Flores-CanalesDepartment of Chemistry, Carnegie Mellon University, Pittsburgh, PA, 15213, USA.
Mauricio Vargas-Uribe
Alexey S Ladokhin
Maria Kurnikova

Funding

pH-Triggered Membrane Insertion of ProteinsR01GM069783 · NIGMS · UNIVERSITY OF KANSAS MEDICAL CENTER · PI COCCO, MELANIE J, KURNIKOVA, MARIA G · 2004 to 2014
$2.5M
NIGMS NIH HHS GM-069783NIGMS NIH HHS R01 GM069783
6 · The paper itself

Abstract

Diphtheria toxin translocation (T) domain inserts in lipid bilayers upon acidification of the environment. Computational and experimental studies have suggested that low pH triggers a conformational change of the T-domain in solution preceding membrane binding. The refolded membrane-competent state was modeled to be compact and mostly retain globular structure. In the present work, we investigate how this refolded state interacts with membrane interfaces in the early steps of T-domain's membrane association. Coarse-grained molecular dynamics simulations suggest two distinct membrane-bound conformations of the T-domain in the presence of bilayers composed of a mixture of zwitteronic and anionic phospholipids (POPC:POPG with a 1:3 molar ratio). Both membrane-bound conformations show a common near parallel orientation of hydrophobic helices TH8-TH9 relative to the membrane plane. The most frequently observed membrane-bound conformation is stabilized by electrostatic interactions between the N-terminal segment of the protein and the membrane interface. The second membrane-bound conformation is stabilized by hydrophobic interactions between protein residues and lipid acyl chains, which facilitate deeper protein insertion in the membrane interface. A theoretical estimate of a free energy of binding of a membrane-competent T-domain to the membrane is provided.

Indexed as

Diphtheria ToxinHistidineHydrogen-Ion ConcentrationHydrophobic and Hydrophilic InteractionsLipid BilayersMolecular Dynamics SimulationPhosphatidylcholinesProtein Structure, Secondary1-palmitoyl-2-oleoylphosphatidylcholineDiphtheria ToxinHistidineLipid BilayersPhosphatidylcholines

Identifiers

PMID25650178
PMCPMC4866490

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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.