Evidence map›Paper›PMID 29056560›Full record

ReviewBiochimica et biophysica acta. Biomembranes2018

Membrane biology visualized in nanometer-sized discs formed by styrene maleic acid polymers.

Mansoore Esmaili, Michael Overduin

Abstract readReview
In one paragraph

Review in Biochimica et biophysica acta. Biomembranes, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Chemical tools for membrane protein structural biology.Current opinion in structural biology · 2019
    Review
  12. Review
  13. 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.

Mansoore EsmailiDepartment of Biochemistry, University of Alberta, Edmonton, AB T6G 2H7, Canada.
Michael OverduinDepartment of Biochemistry, University of Alberta, Edmonton, AB T6G 2H7, Canada. Electronic address: overduin@ualberta.ca.

Funding

NMR Structure and Dynamics of Membrane Binding ProteinsR01CA092181 · NCI · UNIVERSITY OF COLORADO DENVER · PI JONES, DAVID NIGEL · 2001 to 2005
$1.6M
NCI NIH HHS R01 CA092181
6 · The paper itself

Abstract

Discovering how membrane proteins recognize signals and passage molecules remains challenging. Life depends on compartmentalizing these processes into dynamic lipid bilayers that are technically difficult to work with. Several polymers have proven adept at separating the responsible machines intact for detailed analysis of their structures and interactions. Styrene maleic acid (SMA) co-polymers efficiently solubilize membranes into native nanodiscs and, unlike amphipols and membrane scaffold proteins, require no potentially destabilizing detergents. Here we review progress with the SMA lipid particle (SMALP) system and its impacts including three dimensional structures and biochemical functions of peripheral and transmembrane proteins. Polymers systems are emerging to tackle the remaining challenges for wider use and future applications including in membrane proteomics, structural biology of transient or unstable states, and discovery of ligand and drug-like molecules specific for native lipid-bound states.

Indexed as

Cell MembraneLipid BilayersMaleatesMembrane ProteinsModels, MolecularMolecular StructureNanostructuresPolystyrenesProtein ConformationSolubilityLipid BilayersMaleatesMembrane ProteinsPolystyrenesstyrene-maleic acid polymerLipid bilayerMembrane solubilizationNative nanodiscsSMALPStyrene maleic acidTransmembrane protein

Identifiers

PMID29056560
PMCPMC5908709

What OpenQuestion holds

Textmetadata
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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.