Evidence map›Paper›PMID 40119940›Full record

ArticleBioinformatics (Oxford, England)2025

Refining Boolean models with the partial most permissive scheme.

Nadine Ben Boina, Brigitte Mossé, Anaïs Baudot, Elisabeth Remy

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2025. 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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. BioLogical: a universal analysis framework for biosystem logical dynamics.Computational and structural biotechnology journal · 2026
    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.

Nadine Ben BoinaAix Marseille Univ, CNRS, I2M (UMR 7373), Turing Center for Living systems, Marseille, France.
Brigitte MosséAix Marseille Univ, CNRS, I2M (UMR 7373), Turing Center for Living systems, Marseille, France.
Anaïs BaudotAix Marseille Univ, INSERM, MMG, Marseille, France.ORCID 0000-0003-0885-7933
Elisabeth RemyAix Marseille Univ, CNRS, I2M (UMR 7373), Turing Center for Living systems, Marseille, France.ORCID 0000-0001-8560-8178

Funding

French National Research Agency ANR-16-CONV-0001
6 · The paper itself

Abstract

motivationIn systems biology, modeling strategies aim to decode how molecular components interact to generate dynamical behavior. Boolean modeling is more and more used, but the description of the dynamics generated by discrete variables with only two values may be too limited to capture certain dynamical properties. Multivalued logical models can overcome this limitation by allowing more than two levels for each component. However, multivaluing a Boolean model is challenging.

resultsWe present MRBM, a method for efficiently identifying the components of a Boolean model to be multivalued in order to capture specific fixed-point reachabilities in the asynchronous dynamics. To this goal, we defined a new updating scheme locating reachability properties in the most permissive dynamics. MRBM is supported by mathematical demonstrations and illustrated on a toy model and on two models of stem cell differentiation. AVAILABILITY AND IMPLEMENTATION: The MRBM method and the BMs used in this article are available on GitHub at: https://github.com/NdnBnBn/MRBM, and archived in Zenodo (doi: 10.5281/ZENODO.14979798).

Indexed as

Models, BiologicalSystems BiologyAlgorithmsCell DifferentiationHumansSoftwareStem Cells

Identifiers

PMID40119940
PMCPMC12021794

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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.