Evidence map›Paper›PMID 37504995›Full record

ReviewMembranes2023

Building Asymmetric Lipid Bilayers for Molecular Dynamics Simulations: What Methods Exist and How to Choose One?

Emily H Chaisson, Frederick A Heberle, Milka Doktorova

Abstract readReview
In one paragraph

Review in Membranes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
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  3. Review
  4. 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

3 authors.

Emily H ChaissonDepartment of Chemistry, University of Tennessee Knoxville, Knoxville, TN 37916, USA.
Frederick A HeberleDepartment of Chemistry, University of Tennessee Knoxville, Knoxville, TN 37916, USA.
Milka DoktorovaDepartment of Molecular Physiology and Biological Physics, University of Virginia, Charlottesville, VA 22903, USA.ORCID 0000-0003-4366-2242

Funding

Coupling of lateral and transverse organization in complex biomembranesR01GM138887 · NIGMS · UNIVERSITY OF TENNESSEE KNOXVILLE · PI HEBERLE, FREDERICK A, WAXHAM, M. NEAL · 2020 to 2023
$1.7M
Transient loss of plasma membrane asymmetry in mammalian cells: mechanisms and functionF32GM134704 · NIGMS · UNIVERSITY OF VIRGINIA · PI DOKTOROVA, MILKA · 2020 to 2022
$204k
NIGMS NIH HHS F32 GM134704NIGMS NIH HHS R01 GM138887NIH HHS F32GM134704NIH HHS R01GM138887
6 · The paper itself

Abstract

The compositional asymmetry of biological membranes has attracted significant attention over the last decade. Harboring more differences from symmetric membranes than previously appreciated, asymmetric bilayers have proven quite challenging to study with familiar concepts and techniques, leaving many unanswered questions about the reach of the asymmetry effects. One particular area of active research is the computational investigation of composition- and number-asymmetric lipid bilayers with molecular dynamics (MD) simulations. Offering a high level of detail into the organization and properties of the simulated systems, MD has emerged as an indispensable tool in the study of membrane asymmetry. However, the realization that results depend heavily on the protocol used for constructing the asymmetric bilayer models has sparked an ongoing debate about how to choose the most appropriate approach. Here we discuss the underlying source of the discrepant results and review the existing methods for creating asymmetric bilayers for MD simulations. Considering the available data, we argue that each method is well suited for specific applications and hence there is no single best approach. Instead, the choice of a construction protocol-and consequently, its perceived accuracy-must be based primarily on the scientific question that the simulations are designed to address.

Indexed as

differential stressinterleaflet couplingmembrane asymmetry

Identifiers

PMID37504995
PMCPMC10384462

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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.