Evidence map›Paper›PMID 25615863›Full record

ArticleActa crystallographica. Section D, Biological crystallography2015

Memprot: a program to model the detergent corona around a membrane protein based on SEC-SAXS data.

Javier Pérez, Alexandros Koutsioubas

Abstract read
In one paragraph

Article in Acta crystallographica. Section D, Biological crystallography, 2015. 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
–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

23 citing papers in PubMed.

  1. Article
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  3. I-Shaped Dimers of a Plant Chloroplast FInternational journal of molecular sciences · 2023
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  4. Mirror proteorhodopsins.Communications chemistry · 2023
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  12. Article
  13. Journal of applied crystallography · 2019
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  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Journal of applied crystallography · 2017
    Article
  20. 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

2 authors.

Javier PérezBeamline SWING, Synchrotron SOLEIL, L'Orme des Merisiers, BP 48, Saint-Aubin, 91192 Gif-sur-Yvette, France.
Alexandros KoutsioubasJülich Centre for Neutron Science (JCNS), Forschungszentrum Jülich GmbH, Outstation at MLZ, Lichtenbergstrasse 1, 85747 Garching, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The application of small-angle X-ray scattering (SAXS) to structural investigations of transmembrane proteins in detergent solution has been hampered by two main inherent hurdles. On the one hand, the formation of a detergent corona around the hydrophobic region of the protein strongly modifies the scattering curve of the protein. On the other hand, free micelles of detergent without a precisely known concentration coexist with the protein-detergent complex in solution, therefore adding an uncontrolled signal. To gain robust structural information on such systems from SAXS data, in previous work, advantage was taken of the online combination of size-exclusion chromatography (SEC) and SAXS, and the detergent corona around aquaporin-0, a membrane protein of known structure, could be modelled. A precise geometrical model of the corona, shaped as an elliptical torus, was determined. Here, in order to better understand the correlations between the corona model parameters and to discuss the uniqueness of the model, this work was revisited by analyzing systematic SAXS simulations over a wide range of parameters of the torus.

Indexed as

Scattering, Small AngleSoftwareAquaporinsChromatography, GelDetergentsEye ProteinsHydrophobic and Hydrophilic InteractionsMembrane Proteinsaquaporin 0AquaporinsDetergentsEye ProteinsMembrane Proteinsmembrane proteinsMemprotSEC–SAXSsmall-angle X-ray scattering

Identifiers

PMID25615863
PMCPMC4304689

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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.