Evidence map›Paper›PMID 24163106›Full record

ArticleBulletin of mathematical biology2014

Stochastic reaction-diffusion processes with embedded lower-dimensional structures.

Siyang Wang, Johan Elf, Stefan Hellander, Per Lötstedt

Abstract read
In one paragraph

Article in Bulletin of mathematical biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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  5. 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.

Siyang WangDivision of Scientific Computing, Department of Information Technology, Uppsala University, P.O. Box 337, 75105, Uppsala, Sweden, siyang.wang@it.uu.se.
Johan Elf
Stefan Hellander
Per Lötstedt

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
NIBIB NIH HHS 1R01EB014877-01NIBIB NIH HHS R01 EB014877
6 · The paper itself

Abstract

Small copy numbers of many molecular species in biological cells require stochastic models of the chemical reactions between the molecules and their motion. Important reactions often take place on one-dimensional structures embedded in three dimensions with molecules migrating between the dimensions. Examples of polymer structures in cells are DNA, microtubules, and actin filaments. An algorithm for simulation of such systems is developed at a mesoscopic level of approximation. An arbitrarily shaped polymer is coupled to a background Cartesian mesh in three dimensions. The realization of the system is made with a stochastic simulation algorithm in the spirit of Gillespie. The method is applied to model problems for verification and two more detailed models of transcription factor interaction with the DNA.

Indexed as

Models, BiologicalModels, StatisticalBiopolymersBiopolymers

Identifiers

PMID24163106
PMCPMC4539382

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.