Evidence map›Paper›PMID 34197798›Full record

ArticleBiophysical journal2021

Protein-induced membrane curvature in coarse-grained simulations.

Taraknath Mandal, Saverio E Spagnolie, Anjon Audhya, Qiang Cui

Open access · bronzeAbstract read
In one paragraph

Article in Biophysical journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

13 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Article
  3. Bridging Scales: Coarse-Grained Protein Models in Computational Biology.Advances in experimental medicine and biology · 2026
    Review
  4. Review
  5. Article
  6. Making the cut: Multiscale simulation of membrane remodeling.Current opinion in structural biology · 2024
    Review
  7. Article
  8. Article
  9. Molecular mechanism of GTP binding- and dimerization-induced enhancement of Sar1-mediated membrane remodeling.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  10. Article
  11. Molecular Dynamics Simulations of Curved Lipid Membranes.International journal of molecular sciences · 2022
    Review
  12. Article
  13. 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

4 authors at 2 institutions in 2 countries.

Taraknath MandalDepartment of Chemistry, Boston University, Boston, Massachusetts; Department of Physics, Indian Institute of Technology Kanpur, Kanpur 208016, India.
Saverio E SpagnolieDepartment of Mathematics, University of Wisconsin-Madison, Madison, Wisconsin.
Anjon AudhyaDepartment of Biomolecular Chemistry, University of Wisconsin-Madison, Madison, Wisconsin.
Qiang CuiDepartments of Chemistry, Physics, and Biomedical Engineering, Boston University, Boston, Massachusetts. Electronic address: qiangcui@bu.edu.
Boston University · USUniversity of Wisconsin–Madison · US

Funding

Molecular mechanisms that regulate vesicle formation and transportR35GM134865 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI Anjon Audhya · 2020 to 2026
$4.8M
Molecular Mechanisms that Regulate Lysosomal Protein TransportR01GM088151 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI AUDHYA, ANJON · 2010 to 2019
$3.0M
NIGMS NIH HHS R01 GM088151NIGMS NIH HHS R35 GM134865
6 · The paper itself

Abstract

Using the endosomal sorting complex required for transport (ESCRT)-III membrane remodeling complex as an example, we analyze three popular coarse-grained models (the regular MARTINI, polarizable MARTINI (POL-MARTINI), and big multipole water MARTINI (BMW-MARTINI)) for the description of membrane curvature sensing and generation activities of peripheral proteins. Although the three variants of the MARTINI model provide consistent descriptions for the protein-protein interface in a linear filament model of ESCRT-III, they differ considerably in terms of protein-membrane interface and therefore membrane curvature sensing and generation behaviors. In particular, BMW-MARTINI provides the most consistent description of the protein-membrane interface as compared to all-atom simulations, whereas the regular MARTINI is most consistent with atomistic simulations in terms of the qualitative sign of membrane curvature sensing and generation. With POL-MARTINI, the ESCRT-III model interacts weakly with the membrane and therefore does not exhibit any curvature-sensitive activities. Analysis suggests that the incorrect membrane curvature activities predicted by BMW-MARTINI are due to overestimated insertion depth of an amphipathic helix and incorrect sign for the spontaneous curvature of anionic lipids. These results not only point to ways that coarse-grained models can be improved but also explicitly highlight local lipid composition and insertion depth of protein motifs as essential regulatory factors for membrane curvature sensing and generation.

Indexed as

Molecular Dynamics SimulationProteinsLipid BilayersWaterLipid BilayersProteinsWater

Identifiers

PMID34197798
PMCPMC8390925
OpenAlexW3177265863

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.