Evidence map›Paper›PMID 32921806›Full record

ArticleJournal of computational physics2020

A Computational Model of Protein Induced Membrane Morphology with Geodesic Curvature Driven Protein-Membrane Interface.

Y C Zhou, David Argudo, Frank Marcoline, Michael Grabe

Open access · greenAbstract read
In one paragraph

Article in Journal of computational physics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.1field-weighted citation impact, top 56% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Studying Biomolecular Protein Complexes via Origami and 3D-Printed Models.International journal of molecular sciences · 2024
    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 1 country.

Y C ZhouDepartment of Mathematics, Colorado State University, Fort Collins, CO 80523.
David ArgudoDepartment of Pharmaceutical Chemistry and Cardiovascular Research Institute, University of California, San Francisco, CA 94143.
Frank MarcolineDepartment of Pharmaceutical Chemistry and Cardiovascular Research Institute, University of California, San Francisco, CA 94143.
Michael GrabeDepartment of Pharmaceutical Chemistry and Cardiovascular Research Institute, University of California, San Francisco, CA 94143.
University of California, San Francisco · USColorado State University · US

Funding

A Multiscale Model of Protein Mediated Changes in membrane MorphologyR01GM117593 · NIGMS · COLORADO STATE UNIVERSITY · PI ZHOU, YONGCHENG · 2015 to 2019
$1.8M
NIGMS NIH HHS R01 GM117593
6 · The paper itself

Abstract

Continuum or hybrid modeling of bilayer membrane morphological dynamics induced by embedded proteins necessitates the identification of protein-membrane interfaces and coupling of deformations of two surfaces. In this article we developed (i) a minimal total geodesic curvature model to describe these interfaces, and (ii) a numerical one-one mapping between two surface through a conformal mapping of each surface to the common middle annulus. Our work provides the first computational tractable approach for determining the interfaces between bilayer and embedded proteins. The one-one mapping allows a convenient coupling of the morphology of two surfaces. We integrated these two new developments into the energetic model of protein-membrane interactions, and developed the full set of numerical methods for the coupled system. Numerical examples are presented to demonstrate (1) the efficiency and robustness of our methods in locating the curves with minimal total geodesic curvature on highly complicated protein surfaces, (2) the usefulness of these interfaces as interior boundaries for membrane deformation, and (3) the rich morphology of bilayer surfaces for different protein-membrane interfaces.

Indexed as

bilayer membranegeodesic curvatureinterfaceprotein

Identifiers

PMID32921806
PMCPMC7480790
OpenAlexW3049214538

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.