Evidence map›Paper›PMID 27131531›Full record

ArticleThe Journal of chemical physics2016

Hybrid finite element and Brownian dynamics method for charged particles.

Gary A Huber, Yinglong Miao, Shenggao Zhou, Bo Li, J Andrew McCammon

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of chemical physics, 2016. 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
0.2field-weighted citation impact, top 44% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

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

5 authors at 3 institutions in 2 countries.

Gary A HuberHoward Hughes Medical Institute, University of California San Diego, La Jolla, California 92093-0365, USA.
Yinglong MiaoHoward Hughes Medical Institute, University of California San Diego, La Jolla, California 92093-0365, USA.
Shenggao ZhouDepartment of Mathematics and Mathematical Center for Interdiscipline Research, Soochow University, 1 Shizi Street, Suzhou, 215006 Jiangsu, China.
Bo LiDepartment of Mathematics and Quantitative Biology Graduate Program, University of California, San Diego, 9500 Gilman Drive, La Jolla, California 92093-0112, USA.
J Andrew McCammonHoward Hughes Medical Institute, University of California San Diego, La Jolla, California 92093, USA.
Howard Hughes Medical Institute · USUniversity of California, San Diego · USSoochow University · CN

Funding

National Biomedical Computation Resource - Competitive Revision SupplementP41GM103426 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI AMARO, ROMMIE E · 2012 to 2019
$14.0M
THEORY OF BIOMOLECULAR DIFFUSIONR01GM031749 · NIGMS · UNIVERSITY OF HOUSTON · PI HUBER, GARY ALEXANDER, MCCAMMON, JAMES ANDREW · 1985 to 2022
$7.8M
NIGMS NIH HHS P41 GM103426NIGMS NIH HHS R01 GM031749
6 · The paper itself

Abstract

Diffusion is often the rate-determining step in many biological processes. Currently, the two main computational methods for studying diffusion are stochastic methods, such as Brownian dynamics, and continuum methods, such as the finite element method. A previous study introduced a new hybrid diffusion method that couples the strengths of each of these two methods, but was limited by the lack of interactions among the particles; the force on each particle had to be from an external field. This study further develops the method to allow charged particles. The method is derived for a general multidimensional system and is presented using a basic test case for a one-dimensional linear system with one charged species and a radially symmetric system with three charged species.

Identifiers

PMID27131531
PMCPMC4851620
OpenAlexW2342941067

What OpenQuestion holds

Textmetadata
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.