Evidence map›Paper›PMID 28804520›Full record

ArticleCommunications in computational physics2017

Fast Simulation of Lipid Vesicle Deformation Using Spherical Harmonic Approximation.

Michael Mikucki, Yongcheng Zhou

Abstract read
In one paragraph

Article in Communications in computational physics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Michael MikuckiDepartment of Applied Mathematics & Statistics, Colorado School of Mines, Golden, Colorado, 80401, USA.
Yongcheng ZhouDepartment of Mathematics, Colorado State University, Fort Collins, Colorado, 80523, USA.

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

Lipid vesicles appear ubiquitously in biological systems. Understanding how the mechanical and intermolecular interactions deform vesicle membranes is a fundamental question in biophysics. In this article we develop a fast algorithm to compute the surface configurations of lipid vesicles by introducing surface harmonic functions to approximate the membrane surface. This parameterization allows an analytical computation of the membrane curvature energy and its gradient for the efficient minimization of the curvature energy using a nonlinear conjugate gradient method. Our approach drastically reduces the degrees of freedom for approximating the membrane surfaces compared to the previously developed finite element and finite difference methods. Vesicle deformations with a reduced volume larger than 0.65 can be well approximated by using as small as 49 surface harmonic functions. The method thus has a great potential to reduce the computational expense of tracking multiple vesicles which deform for their interaction with external fields.

Indexed as

35Q9265M7092C40curvature energyfast algorithmLipid bilayersurface harmonics

Identifiers

PMID28804520
PMCPMC5552105

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.