Evidence map›Paper›PMID 26864972›Full record

ArticleJournal of computational chemistry2016

Model parameters for simulation of physiological lipids.

Ronald D Hills, Nicholas McGlinchey

Open access · hybridAbstract read
In one paragraph

Article in Journal of computational chemistry, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.0field-weighted citation impact, top 9% of its field
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

19 citing papers in PubMed, 53 citations in OpenAlex.

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  19. Model parameters for simulation of physiological lipids.Journal of computational chemistry · 2016
    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 at 1 institution in 1 country.

Ronald D HillsDepartment of Pharmaceutical Sciences, College of Pharmacy, University of New England, 716 Stevens Ave, Portland, Maine, 04103.
Nicholas McGlincheyDepartment of Pharmaceutical Sciences, College of Pharmacy, University of New England, 716 Stevens Ave, Portland, Maine, 04103.
University of New England · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coarse grain simulation of proteins in their physiological membrane environment can offer insight across timescales, but requires a comprehensive force field. Parameters are explored for multicomponent bilayers composed of unsaturated lipids DOPC and DOPE, mixed-chain saturation POPC and POPE, and anionic lipids found in bacteria: POPG and cardiolipin. A nonbond representation obtained from multiscale force matching is adapted for these lipids and combined with an improved bonding description of cholesterol. Equilibrating the area per lipid yields robust bilayer simulations and properties for common lipid mixtures with the exception of pure DOPE, which has a known tendency to form nonlamellar phase. The models maintain consistency with an existing lipid-protein interaction model, making the force field of general utility for studying membrane proteins in physiologically representative bilayers.

Indexed as

Molecular Dynamics SimulationLipid BilayersMembrane LipidsLipid BilayersMembrane Lipidsarea per lipidcoarse-grained force fieldimplicit solventmixed lipid bilayermolecular dynamics

Identifiers

PMID26864972
PMCPMC5067697
OpenAlexW2327285702

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.