Evidence map›Paper›PMID 32884156›Full record

ArticleJournal of computational physics2020

Enriched gradient recovery for interface solutions of the Poisson-Boltzmann equation.

George Borleske, Y C Zhou

Abstract 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. 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.

George BorleskeDepartment of Mathematics, Colorado State University, Fort Collins, CO 80523, United States of America.
Y C ZhouDepartment of Mathematics, Colorado State University, Fort Collins, CO 80523, United States of America.

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

Accurate calculation of electrostatic potential and gradient on the molecular surface is highly desirable for the continuum and hybrid modeling of large scale deformation of biomolecules in solvent. In this article a new numerical method is proposed to calculate these quantities on the dielectric interface from the numerical solutions of the Poisson-Boltzmann equation. Our method reconstructs a potential field locally in the least square sense on the polynomial basis enriched with Green's functions, the latter characterize the Coulomb potential induced by charges near the position of reconstruction. This enrichment resembles the decomposition of electrostatic potential into singular Coulomb component and the regular reaction field in the Generalized Born methods. Numerical experiments demonstrate that the enrichment recovery produces drastically more accurate and stable potential gradients on molecular surfaces compared to classical recovery techniques.

Indexed as

Biomolecular electrostaticsGradient recoveryHigh accuracyInterface methodsNumerical solutionPoisson-Boltzmann equation

Identifiers

PMID32884156
PMCPMC7461612

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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.