Evidence map›Paper›PMID 33086798›Full record

ArticleThe Journal of chemical physics2020

Computer simulations of a heterogeneous membrane with enhanced sampling techniques.

Yevhen K Cherniavskyi, Arman Fathizadeh, Ron Elber, D Peter Tieleman

Abstract read
In one paragraph

Article in The Journal of chemical physics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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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.

Yevhen K CherniavskyiDepartment of Biological Sciences and Centre for Molecular Simulation, University of Calgary, 2500 University Drive NW, Calgary, Alberta T2N 1N4, Canada.
Arman FathizadehThe Oden Institute for Computational Engineering and Sciences, University of Texas at Austin, Austin, Texas 78712, USA.
Ron ElberThe Oden Institute for Computational Engineering and Sciences, University of Texas at Austin, Austin, Texas 78712, USA.ORCID 000000017849415X
D Peter TielemanDepartment of Biological Sciences and Centre for Molecular Simulation, University of Calgary, 2500 University Drive NW, Calgary, Alberta T2N 1N4, Canada.ORCID 0000000155070688

Funding

Modeling Membrane Dynamics and PermeationR01GM111364 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI CARDENAS, ALFREDO, ELBER, RON · 2016 to 2023
$2.5M
NIGMS NIH HHS R01 GM111364
6 · The paper itself

Abstract

Computational determination of the equilibrium state of heterogeneous phospholipid membranes is a significant challenge. We wish to explore the rich phase diagram of these multi-component systems. However, the diffusion and mixing times in membranes are long compared to typical time scales of computer simulations. Here, we evaluate the combination of the enhanced sampling techniques molecular dynamics with alchemical steps and Monte Carlo with molecular dynamics with a coarse-grained model of membranes (Martini) to reduce the number of steps and force evaluations that are needed to reach equilibrium. We illustrate a significant gain compared to straightforward molecular dynamics of the Martini model by factors between 3 and 10. The combination is a useful tool to enhance the study of phase separation and the formation of domains in biological membranes.

Indexed as

1,2-DipalmitoylphosphatidylcholineAlgorithmsCell MembraneLipid BilayersMolecular Dynamics SimulationMonte Carlo MethodPhosphatidylserines1,2-DipalmitoylphosphatidylcholinedipalmitoylphosphatidylserineLipid BilayersPhosphatidylserines

Identifiers

PMID33086798
PMCPMC7556882

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.