Evidence map›Paper›PMID 34520736›Full record

ArticleStructure (London, England : 1993)2021

Mechanism of negative membrane curvature generation by I-BAR domains.

Binod Nepal, Aliasghar Sepehri, Themis Lazaridis

Abstract read
In one paragraph

Article in Structure (London, England : 1993), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
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

3 authors.

Binod NepalDepartment of Chemistry, City College of New York, New York, NY 10031, USA.
Aliasghar SepehriDepartment of Chemistry, City College of New York, New York, NY 10031, USA.
Themis LazaridisDepartment of Chemistry, City College of New York, New York, NY 10031, USA; Graduate Programs in Chemistry, Biochemistry, and Physics, The Graduate Center, City University of New York, New York, NY, USA. Electronic address: tlazaridis@ccny.cuny.edu.

Funding

Cellular/Molecular Basis of Development: Research CenterG12MD007603 · NIMHD · CITY COLLEGE OF NEW YORK · PI PEZZANO, MARK · 2012 to 2017
$11.5M
Mechanism of membrane pore formation by antimicrobial peptidesR01GM117146 · NIGMS · CITY COLLEGE OF NEW YORK · PI LAZARIDIS, THEMIS · 2016 to 2019
$1.2M
NIGMS NIH HHS R01 GM117146NIMHD NIH HHS G12 MD007603
6 · The paper itself

Abstract

The membrane sculpting ability of BAR domains has been attributed to the intrinsic curvature of their banana-shaped dimeric structure. However, there is often a mismatch between this intrinsic curvature and the diameter of the membrane tubules generated. I-BAR domains are especially mysterious since they are almost flat but generate high negative membrane curvature. Here, we use atomistic implicit-solvent computer modeling to show that the membrane bending of the IRSp53 I-BAR domain is dictated by its higher oligomeric structure, whose curvature is completely unrelated to the intrinsic curvature of the dimer. Two other I-BARs give similar results, whereas a flat F-BAR sheet develops a concave membrane-binding interface, consistent with its observed positive membrane curvature generation. Laterally interacting helical spirals of I-BAR dimers on tube interiors are stable and have an enhanced binding energy that is sufficient for membrane bending to experimentally observed tubule diameters at a reasonable surface density.

Indexed as

Models, MolecularCell MembraneComputer SimulationHumansLipid BilayersMembrane ProteinsLipid BilayersMembrane Proteinscomputer simulationI-BARlipid bilayermembrane curvature sensing and generation

Identifiers

PMID34520736
PMCPMC8642264

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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.