Evidence map›Paper›PMID 39982441›Full record

ArticleBiophysical journal2025

Understanding the coarse-grained free energy landscape of phospholipids and their phase separation.

Patrick G Sahrmann, Gregory A Voth

Abstract read
In one paragraph

Article in Biophysical journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Bottom-up Coarse-Grained Models of Asymmetric Membranes.The journal of physical chemistry. B · 2025
    Article
  3. 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.

Patrick G SahrmannDepartment of Chemistry, Chicago Center for Theoretical Chemistry, James Franck Institute, and Institute for Biophysical Dynamics, The University of Chicago, Chicago, Illinois.
Gregory A VothDepartment of Chemistry, Chicago Center for Theoretical Chemistry, James Franck Institute, and Institute for Biophysical Dynamics, The University of Chicago, Chicago, Illinois. Electronic address: gavoth@uchicago.edu.

Funding

New Method for Biomembrane SimulationsR01GM063796 · NIGMS · UNIVERSITY OF UTAH · PI VOTH, GREGORY A. · 2001 to 2025
$6.3M
NIGMS NIH HHS R01 GM063796
6 · The paper itself

Abstract

The cell membrane exhibits lateral heterogeneity due to the preferential association among the large number of lipid species that constitute the membrane. In particular, the preferential association of cholesterol (CHOL) with saturated lipids into ordered domains has been an area of intense investigation. The large spatiotemporal scales that comprise spontaneous domain formation largely precludes computational investigation via conventional all-atom molecular dynamics. We demonstrate here that molecular coarse-grained (CG) models, obtained from the bottom-up, i.e., via statistical mechanical renormalization of atomistic models, are capable of spontaneous assembly and phase separation for two model raft-like systems, DLiPC/DPPC/CHOL and DOPC/DPPC/CHOL. The resulting bottom-up CG models exhibit spontaneous self-assembly and phase separation and recapitulate the structural correlations of the underlying atomistic models. The accuracy and fast dynamics of these CG models constitute an effective means of bypassing the limited spatiotemporal scales of atomistic simulations. As the first bottom-up CG models of lipid phase separation, the CG models in this work provide an informative analysis for further construction of bottom-up CG models transferable across a range of lipid compositions.

Indexed as

Molecular Dynamics SimulationPhase TransitionPhospholipidsCholesterolLipid BilayersMembrane MicrodomainsPhase SeparationPhosphatidylcholinesThermodynamicsCholesterolLipid BilayersPhosphatidylcholinesPhospholipids

Identifiers

PMID39982441
PMCPMC11900191

What OpenQuestion holds

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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.