Evidence map›Paper›PMID 34792524›Full record

ArticleSoft matter2021

A continuum membrane model can predict curvature sensing by helix insertion.

Yiben Fu, Wade F Zeno, Jeanne C Stachowiak, Margaret E Johnson

Erratum issuedOpen access · greenAbstract read
In one paragraph

Article in Soft matter, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 28% 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

6 citing papers in PubMed, 14 citations in OpenAlex.

  1. Membrane bending energy selects for compact growth of protein assemblies.bioRxiv : the preprint server for biology · 2025
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Modeling membrane reshaping driven by dynamic protein assemblies.Current opinion in structural biology · 2023
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 1 country.

Yiben FuT. C. Jenkins Department of Biophysics, The Johns Hopkins University, 3400 N. Charles St., Baltimore, Maryland 21218, USA. margaret.johnson@jhu.edu.
Wade F ZenoMork Family Department of Chemical Engineering and Materials Science, The University of Southern California, Los Angeles, California, 90089, USA.
Jeanne C StachowiakDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, Texas 78712, USA.ORCID http://orcid.org/0000-0003-2501-142X
Margaret E JohnsonT. C. Jenkins Department of Biophysics, The Johns Hopkins University, 3400 N. Charles St., Baltimore, Maryland 21218, USA. margaret.johnson@jhu.edu.ORCID http://orcid.org/0000-0001-9881-291X
Johns Hopkins University · USThe University of Texas at Austin · USUniversity of Southern California · US

Funding

Protein Networks as Synergistic Drivers of Membrane RemodelingR35GM139531 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI Jeanne Casstevens Stachowiak · 2021 to 2026
$4.0M
Mechanisms of Protein Self-Assembly Coupled to Membrane Mechanics in the Cell.R35GM133644 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI JOHNSON, MARGARET ELLEN · 2019 to 2023
$2.0M
NIGMS NIH HHS R35 GM133644NIGMS NIH HHS R35 GM139531
6 · The paper itself

Abstract

Protein domains, such as ENTH (epsin N-terminal homology) and BAR (bin/amphiphysin/rvs), contain amphipathic helices that drive preferential binding to curved membranes. However, predicting how the physical parameters of these domains control this 'curvature sensing' behavior is challenging due to the local membrane deformations generated by the nanoscopic helix on the surface of a large sphere. We here use a deformable continuum model that accounts for the physical properties of the membrane and the helix insertion to predict curvature sensing behavior, with direct validation against multiple experimental datasets. We show that the insertion can be modeled as a local change to the membrane's spontaneous curvature,

Indexed as

Cell Membrane

Identifiers

PMID34792524
PMCPMC8877990
OpenAlexW3213543992

What OpenQuestion holds

Textmetadata
LicenceTDM
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.