Evidence map›Paper›PMID 36528994›Full record

ReviewCurrent opinion in structural biology2023

Modeling membrane reshaping driven by dynamic protein assemblies.

Yiben Fu, Margaret E Johnson

Abstract readReview
In one paragraph

Review in Current opinion in structural biology, 2023. 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. Vesiculation pathways in clathrin-mediated endocytosis.bioRxiv : the preprint server for biology · 2025
    Article
  2. Membrane bending energy selects for compact growth of protein assemblies.bioRxiv : the preprint server for biology · 2025
    Article
  3. The Role of Cholesterol in M2 Clustering and Viral Budding Explained.Journal of chemical theory and computation · 2025
    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.

Yiben FuT. C. Jenkins Department of Biophysics, The Johns Hopkins University, 3400 N. Charles St., Baltimore, MD 21218, USA.
Margaret E JohnsonT. C. Jenkins Department of Biophysics, The Johns Hopkins University, 3400 N. Charles St., Baltimore, MD 21218, USA. Electronic address: margaret.johnson@jhu.edu.

Funding

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 GM133644
6 · The paper itself

Abstract

Remodeling of membranes in living systems is almost universally coupled to self-assembly of soluble proteins. Proteins assemble into semi-rigid shells that reshape attached membranes, and into filaments that protrude membranes. These assemblies are temporary, building from reversible protein and membrane interactions that must nucleate in the proper location. The interactions are strongly influenced by the nonequilibrium environment of the cell, such as gradients of components or active modifications by kinases. From a modeling perspective, understanding mechanisms and control thus requires 1. time-dependent approaches that ideally incorporate 2. macromolecular structure, 3. out-of-equilibrium processes, and 4. deformable membranes over microns and seconds. Realistically, tradeoffs must be made with these last three features. However, we see recent developments from the highly coarsened molecule-based scale, the continuum reaction-diffusion scale, and hybrid approaches as stimulating efforts in diverse applications. We discuss here methodological advances and progress towards simulating these processes as they occur physiologically.

Indexed as

Cell MembraneProteinsProteins

Identifiers

PMID36528994
PMCPMC9908840

What OpenQuestion holds

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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.