Evidence map›Paper›PMID 37742069›Full record

ArticleBiophysical journal2023

Understanding the free-energy landscape of phase separation in lipid bilayers using molecular dynamics.

Ashlin J Poruthoor, Akshara Sharma, Alan Grossfield

Abstract read
In one paragraph

Article in Biophysical journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. WEDAP: A Python Package for Streamlined Plotting of Molecular Simulation Data.Journal of chemical information and modeling · 2024
    Article
  5. Weighted Ensemble Simulation: Advances in methods, software, and applications.Wiley interdisciplinary reviews. Computational molecular science
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Ashlin J PoruthoorDepartment of Biochemistry and Biophysics, University of Rochester Medical Center, Rochester, New York.
Akshara SharmaDepartment of Biochemistry and Biophysics, University of Rochester Medical Center, Rochester, New York.
Alan GrossfieldDepartment of Biochemistry and Biophysics, University of Rochester Medical Center, Rochester, New York. Electronic address: alan_grossfield@urmc.rochester.edu.

Funding

Developing computational methods to determine the thermodynamics of lipid phase coexistenceR21GM138970 · NIGMS · UNIVERSITY OF ROCHESTER · PI GROSSFIELD, ALAN · 2020 to 2021
$413k
NIGMS NIH HHS R21 GM138970
6 · The paper itself

Abstract

Liquid-liquid phase separation inside the cell often results in biological condensates that can critically affect cell homeostasis. Such phase separation events occur in multiple parts of cells, including the cell membranes, where the "lipid raft" hypothesis posits the formation of ordered domains floating in a sea of disordered lipids. The resulting lipid domains often have functional roles. However, the thermodynamics of lipid phase separation and their resulting mechanistic effects on cell function and dysfunction are poorly understood. Understanding such complex phenomena in cell membranes, with their diverse lipid compositions, is exceptionally difficult. For these reasons, simple model systems that can recapitulate similar behavior are widely used to study this phenomenon. Despite these simplifications, the timescale and length scales of domain formation pose a challenge for molecular dynamics (MD) simulations. Thus, most MD studies focus on spontaneous lipid phase separation-essentially measuring the sign (but not the amplitude) of the free-energy change upon separation-rather than directly interrogating the thermodynamics. Here, we propose a proof-of-concept pipeline that can directly measure this free energy by combining coarse-grained MD with enhanced sampling protocols using a novel collective variable. This approach will be a useful tool to help connect the thermodynamics of phase separation with the mechanistic insights already available from MD simulations.

Indexed as

Lipid BilayersMolecular Dynamics SimulationCell MembraneCholesterolEntropyCholesterolLipid Bilayers

Identifiers

PMID37742069
PMCPMC10645549

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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.