Evidence map›Paper›PMID 30806797›Full record

ArticleJournal of molecular modeling2019

Physical properties of model biological lipid bilayers: insights from all-atom molecular dynamics simulations.

Ganesh Shahane, Wei Ding, Michail Palaiokostas, Mario Orsi

Open access · hybridAbstract read
PubMed Publisher
In one paragraph

Article in Journal of molecular modeling, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed
5.7field-weighted citation impact, top 3% 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

59 citing papers in PubMed, 141 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Ganesh ShahaneInstitute of Bioengineering, Queen Mary University of London, Mile End Road, London, E1 4NS, UK.
Wei DingSchool of Engineering & Materials Science, Queen Mary University of London, Mile End Road, London, E1 4NS, UK.
Michail PalaiokostasSchool of Engineering & Materials Science, Queen Mary University of London, Mile End Road, London, E1 4NS, UK.
Mario OrsiDepartment of Applied Sciences, University of the West of England, Coldharbour Lane, Bristol, BS16 1QY, UK. mario.orsi@uwe.ac.uk.ORCID http://orcid.org/0000-0002-3799-5860
Queen Mary University of London · GBUniversity of the West of England · GB

Funding

Biotechnology and Biological Sciences Research Council BB/L01386X/1Engineering and Physical Sciences Research Council EP/L000253/1
6 · The paper itself

Abstract

The physical properties of lipid bilayers are sensitive to the specific type and composition of the lipids that make up the many different types of cell membranes. Studying model bilayers of representative heterogeneous compositions can provide key insights into membrane functionality. In this work, we use atomistic molecular dynamics simulations to characterize key properties in a number of bilayer membranes of varying composition. We first examine basic properties, such as lipid area, volume, and bilayer thickness, of simple, homogeneous bilayers comprising several lipid types, which are prevalent in biological membranes. Such lipids are then used in simulations of heterogeneous systems representative of bacterial, mammalian, and cancer membranes. Our analysis is especially focused on depth-dependent, transmembrane profiles; in particular, we calculate lateral pressure and dipole potential profiles, two fundamental properties which play key roles in a large number of biological functions.

Indexed as

Dipole potentialLateral pressureLipid bilayerMolecular dynamics simulations

Identifiers

PMID30806797
OpenAlexW2916428285

What OpenQuestion holds

Textmetadata
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.