Evidence map›Paper›PMID 41064430›Full record

ArticleJournal of applied crystallography2025

Model for small-angle scattering analysis of membranes with protein-like inclusions.

Cedric J Gommes, Olga Matsarskaia, Julio M Pusterla, Igor Graf von Westarp, Baohu Wu, Orsolya Czakkel, Andreas M Stadler

Abstract read
In one paragraph

Article in Journal of applied crystallography, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Cedric J GommesDepartment of Chemical Engineering, University of Liège B6A, Allée du Six Août 3, B-4000 Liège, Belgium.ORCID https://orcid.org/0000-0001-7598-1788
Olga MatsarskaiaInstitut Laue-Langevin, 71 Avenue des Martyrs, 38042 Grenoble, France.
Julio M PusterlaJülich Centre for Neutron Science JCNS-1, Forschungszentrum Jülich GmbH, 52425 Jülich, Germany.
Igor Graf von WestarpJülich Centre for Neutron Science JCNS-1, Forschungszentrum Jülich GmbH, 52425 Jülich, Germany.
Baohu WuJülich Centre for Neutron Science at MLZ, Forschungszentrum Jülich GmbH, Lichtenbergstrasse 1, 85747 Garching, Germany.ORCID https://orcid.org/0000-0002-1291-8965
Orsolya CzakkelInstitut Laue-Langevin, 71 Avenue des Martyrs, 38042 Grenoble, France.
Andreas M StadlerJülich Centre for Neutron Science JCNS-1, Forschungszentrum Jülich GmbH, 52425 Jülich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Proteins are ubiquitous in biological membranes and have a significant impact on their scattering properties. In this contribution, we introduce a general mathematical construction to add proteins to any pre-existing membrane model and to calculate the resulting elastic and/or inelastic scattering cross section. The model is a low-resolution one, which describes the proteins as made up of regions of homogeneous scattering length density that extend through an arbitrary fraction of the membrane and possibly protrude out of it. In this construction, the protein characteristics that are relevant to scattering are their space and time correlation functions in the two-dimensional plane of the membrane. The results are particularized to a static bilayer model and to a Gaussian model of a fluctuating membrane. The models are then applied to the joint analysis of small-angle neutron and X-ray scattering of red blood cell membranes, of which transmembrane proteins constitute 25% of the volume, and to neutron spin-echo data measured on the same systems.

Indexed as

membranesneutron spin–echoproteinssmall-angle scattering

Identifiers

PMID41064430
PMCPMC12502873

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.