Evidence map›Paper›PMID 30363398›Full record

ArticleF1000Research2018

EpiLog: A software for the logical modelling of epithelial dynamics.

Pedro L Varela, Camila V Ramos, Pedro T Monteiro, Claudine Chaouiya

Abstract read
In one paragraph

Article in F1000Research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. In Silico Logical Modelling to Uncover Cooperative Interactions in Cancer.International journal of molecular sciences · 2021
    Review
  5. Article
  6. Article
  7. Review
  8. Boolean analysis of lateral inhibition.Journal of mathematical biology · 2020
    Article
  9. 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.

Pedro L VarelaInstituto Superior Técnico, Universidade de Lisboa, Lisbon, P-1049-001, Portugal.
Camila V RamosINESC-ID, Lisbon, P-1000-029, Portugal.
Pedro T MonteiroInstituto Superior Técnico, Universidade de Lisboa, Lisbon, P-1049-001, Portugal.ORCID 0000-0002-7934-5495
Claudine ChaouiyaInstituto Gulbenkian de Ciência, Oeiras, P-2780-156, Portugal.ORCID 0000-0003-2350-0756

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cellular responses are governed by regulatory networks subject to external signals from surrounding cells and to other micro-environmental cues. The logical (Boolean or multi-valued)  framework proved well suited to study such processes at the cellular level, by specifying qualitative models of involved signalling pathways and gene regulatory networks.  Here, we describe and illustrate the main features of EpiLog, a computational tool that implements an extension of the logical framework to the tissue level. EpiLog defines a collection of hexagonal cells over a 2D grid, which embodies a mono-layer epithelium. Basically, it defines a cellular automaton in which cell behaviours are driven by associated logical models subject to external signals.  EpiLog is freely available on the web at http://epilog-tool.org. It is implemented in Java (version ≥1.7 required) and the source code is provided at https://github.com/epilog-tool/epilog under a GNU General Public License v3.0.

Indexed as

Gene Regulatory NetworksModels, BiologicalSignal TransductionSoftwareSystems BiologyAnimalsEpithelial CellsEpitheliumHumansCellular automatonHexagonal gridLogical modellingMulticellular regulatory networks

Identifiers

PMID30363398
PMCPMC6173114

What OpenQuestion holds

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LicenceCC BY
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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.