Evidence map›Paper›PMID 25381619›Full record

ArticleJournal of molecular modeling2014

Protein modeling and molecular dynamics simulation of the two novel surfactant proteins SP-G and SP-H.

Felix Rausch, Martin Schicht, Lars Bräuer, Friedrich Paulsen, Wolfgang Brandt

Abstract read
In one paragraph

Article in Journal of molecular modeling, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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  3. Review
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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

5 authors.

Felix RauschInstitute of Anatomy, Department II, Friedrich Alexander University Erlangen-Nuremberg, Erlangen, Germany, felix.rausch@anatomie2.med.uni-erlangen.de.
Martin Schicht
Lars Bräuer
Friedrich Paulsen
Wolfgang Brandt

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Surfactant proteins are well known from the human lung where they are responsible for the stability and flexibility of the pulmonary surfactant system. They are able to influence the surface tension of the gas-liquid interface specifically by directly interacting with single lipids. This work describes the generation of reliable protein structure models to support the experimental characterization of two novel putative surfactant proteins called SP-G and SP-H. The obtained protein models were complemented by predicted posttranslational modifications and placed in a lipid model system mimicking the pulmonary surface. Molecular dynamics simulations of these protein-lipid systems showed the stability of the protein models and the formation of interactions between protein surface and lipid head groups on an atomic scale. Thereby, interaction interface and strength seem to be dependent on orientation and posttranslational modification of the protein. The here presented modeling was fundamental for experimental localization studies and the simulations showed that SP-G and SP-H are theoretically able to interact with lipid systems and thus are members of the surfactant protein family.

Indexed as

Molecular Dynamics Simulation1,2-DipalmitoylphosphatidylcholineProtein ConformationProtein Processing, Post-TranslationalProtein StabilityPulmonary Surfactant-Associated Protein BPulmonary Surfactant-Associated ProteinsStructure-Activity RelationshipSurface Properties1,2-DipalmitoylphosphatidylcholinePulmonary Surfactant-Associated Protein BPulmonary Surfactant-Associated Proteins

Identifiers

PMID25381619
PMCPMC7101549

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.