Evidence map›Paper›PMID 23404039›Full record

ArticleJournal of mathematical biology2014

A traffic flow model for bio-polymerization processes.

Lisa Davis, Tomáš Gedeon, Jakub Gedeon, Jennifer Thorenson

Abstract read
In one paragraph

Article in Journal of mathematical biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Lisa DavisDepartment of Mathematical Sciences, Montana State University, Bozeman, MT, 59717-2400, USA.
Tomáš Gedeon
Jakub Gedeon
Jennifer Thorenson

Funding

Impact of hepatocyte lineage life history dynamics on liver homeostasis in the agR01AG040020 · NIA · MONTANA STATE UNIVERSITY - BOZEMAN · PI GEDEON, TOMAS, SCHMIDT, EDWARD E · 2011 to 2015
$1.5M
NIA NIH HHS 1R01AG040020-01NIA NIH HHS R01 AG040020
6 · The paper itself

Abstract

Bio-polymerization processes like transcription and translation are central to proper function of a cell. The speed at which the bio-polymer grows is affected both by the number of pauses of elongation machinery, as well the number of bio-polymers due to crowding effects. In order to quantify these effects in fast transcribing ribosome genes, we rigorously show that a classical traffic flow model is the limit of a mean occupancy ODE model. We compare the simulation of this model to a stochastic model and evaluate the combined effect of the polymerase density and the existence of pauses on the instantaneous transcription rate of ribosomal genes.

Indexed as

Models, BiologicalComputer SimulationDNA-Directed RNA PolymerasesGenes, rRNAMarkov ChainsProtein BiosynthesisRibosomesTranscription, GeneticDNA-Directed RNA Polymerases

Identifiers

PMID23404039
PMCPMC3723772

What OpenQuestion holds

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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.