Evidence map›Paper›PMID 22207767›Full record

ArticleJournal of applied physics2011

Continuous distribution model for the investigation of complex molecular architectures near interfaces with scattering techniques.

Prabhanshu Shekhar, Hirsh Nanda, Mathias Lösche, Frank Heinrich

Abstract read
In one paragraph

Article in Journal of applied physics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 citing papers in PubMed.

  1. Article
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  5. Journal of applied crystallography · 2024
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  11. Review
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  13. Review
  14. Uncovering a membrane-distal conformation of KRAS available to recruit RAF to the plasma membrane.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  15. Article
  16. Article
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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.

Prabhanshu Shekhar
Hirsh Nanda
Mathias Lösche
Frank Heinrich

Funding

STRUCTURAL&FUNCTIONAL INESTIGATIONS OF AB OLIGOMER INTERACTION/SYNTHETIC MEMBRANEP01AG032131 · NIA · CARNEGIE-MELLON UNIVERSITY · PI DESEMO, MARKUS · 2009 to 2011
$1.9M
NIA NIH HHS P01 AG032131
6 · The paper itself

Abstract

Biological membranes are composed of a thermally disordered lipid matrix and therefore require non-crystallographic scattering approaches for structural characterization with x-rays or neutrons. Here we develop a continuous distribution (CD) model to refine neutron or x-ray reflectivity data from complex architectures of organic molecules. The new model is a flexible implementation of the composition-space refinement of interfacial structures to constrain the resulting scattering length density profiles. We show this model increases the precision with which molecular components may be localized within a sample, with a minimal use of free model parameters. We validate the new model by parameterizing all-atom molecular dynamics (MD) simulations of bilayers and by evaluating the neutron reflectivity of a phospholipid bilayer physisorbed to a solid support. The determination of the structural arrangement of a sparsely-tethered bilayer lipid membrane (stBLM) comprised of a multi-component phospholipid bilayer anchored to a gold substrate by a thiolated oligo(ethylene oxide) linker is also demonstrated. From the model we extract the bilayer composition and density of tether points, information which was previously inaccessible for stBLM systems. The new modeling strategy has been implemented into the ga_refl reflectivity data evaluation suite, available through the National Institute of Standards and Technology (NIST) Center for Neutron Research (NCNR).

Identifiers

PMID22207767
PMCPMC3246012

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.