Evidence map›Paper›PMID 30360496›Full record

ReviewBiomolecules2018

Modeling Membrane Curvature Generation due to Membrane⁻Protein Interactions.

Haleh Alimohamadi, Padmini Rangamani

Abstract readReview
In one paragraph

Review in Biomolecules, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

39 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. SARS-CoV-2 peptide fragments selectively dysregulate specific immune cell populations via Gaussian curvature targeting.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  5. Review
  6. Article
  7. Article
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  10. Biophysical modeling of membrane curvature generation and curvature sensing by the glycocalyx.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. A minimal physical model for curvotaxis driven by curved protein complexes at the cell's leading edge.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  16. Review
  17. Article
  18. Article
  19. Article
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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

2 authors.

Haleh AlimohamadiDepartment of Mechanical and Aerospace Engineering, University of California, San Diego, CA 92093, USA. halimoha@eng.ucsd.edu.
Padmini RangamaniDepartment of Mechanical and Aerospace Engineering, University of California, San Diego, CA 92093, USA. prangamani@ucsd.edu.ORCID 0000-0001-5953-4347

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To alter and adjust the shape of the plasma membrane, cells harness various mechanisms of curvature generation. Many of these curvature generation mechanisms rely on the interactions between peripheral membrane proteins, integral membrane proteins, and lipids in the bilayer membrane. Mathematical and computational modeling of membrane curvature generation has provided great insights into the physics underlying these processes. However, one of the challenges in modeling these processes is identifying the suitable constitutive relationships that describe the membrane free energy including protein distribution and curvature generation capability. Here, we review some of the commonly used continuum elastic membrane models that have been developed for this purpose and discuss their applications. Finally, we address some fundamental challenges that future theoretical methods need to overcome to push the boundaries of current model applications.

Indexed as

Models, MolecularCell MembraneHydrophobic and Hydrophilic InteractionsMembrane ProteinsProtein BindingMembrane Proteinsarea difference elastic modeldeviatoric curvatureHelfrich energyhydrophobic mismatchplasma membraneprotein crowdingspontaneous curvature

Identifiers

PMID30360496
PMCPMC6316661

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.