Evidence map›Paper›PMID 30581900›Full record

ArticleData in brief2019

Validation data for a hybrid smoothed dissipative particle dynamics (SDPD) spatial stochastic simulation algorithm (sSSA) method.

Brian Drawert, Bruno Jacob, Zhen Li, Tau-Mu Yi, Linda Petzold

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Data in brief, 2019. 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
–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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Brian DrawertDepartment of Computer Science, University of North Carolina at Asheville, Asheville, NC 28804, USA.
Bruno JacobDepartment of Mechanical Engineering, University of California - Santa Barbara, Santa Barbara, CA 93106, USA.
Zhen LiDivision of Applied Mathematics, Brown University, Providence, RI 02912, USA.
Tau-Mu YiDepartment of Molecular, Cellular, and Developmental Biology, University of California - Santa Barbara, Santa Barbara, CA 93106, USA.
Linda PetzoldDepartment of Mechanical Engineering, University of California - Santa Barbara, Santa Barbara, CA 93106, USA.

Funding

StochSS: A Next-Generation Toolkit for Simulation-Driven Biological DiscoveryR01EB014877 · NIBIB · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI PETZOLD, LINDA R. · 2012 to 2022
$3.9M
Bridging the Gap Between Molecular and Mechanical Control of Cell MorphogenesisR01GM113241 · NIGMS · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI CAMPAS, OTGER · 2014 to 2018
$1.7M
NIBIB NIH HHS R01 EB014877NIGMS NIH HHS R01 GM113241
6 · The paper itself

Abstract

We present the validation of the hybrid sSSA-SDPD method for advection-diffusion-reaction problems coupled to discrete biochemical systems, as presented in the publication "A hybrid smoothed dissipative particle dynamics (SDPD) spatial stochastic simulation algorithm (sSSA) for advection-diffusion-reaction problems" (Drawert et al., 2019). We validate 1D diffusion, and 2D diffusion cases against their analytical solutions. We present graphs and tables of data showing the error in the simulation method.

Identifiers

PMID30581900
PMCPMC6293021

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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.