Evidence map›Paper›PMID 37876275›Full record

ArticleJournal of the Royal Society, Interface2023

Modularity of biological systems: a link between structure and function.

Claus Kadelka, Matthew Wheeler, Alan Veliz-Cuba, David Murrugarra, Reinhard Laubenbacher

Open access · greenAbstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
4.0field-weighted citation impact, top 6% of its field
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

14 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
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  3. Format-Preserving Reduction of Canonical Nonlinear Models.Bulletin of mathematical biology · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 4 institutions in 1 country.

Claus KadelkaDepartment of Mathematics, Iowa State University, Ames, IA, USA.ORCID 0000-0002-5712-8529
Matthew WheelerDepartment of Medicine, University of Florida, Gainesville, FL, USA.
Alan Veliz-CubaDepartment of Mathematics, University of Dayton, Dayton, OH, USA.
David MurrugarraDepartment of Mathematics, University of Kentucky, Lexington, KY, USA.
Reinhard LaubenbacherDepartment of Medicine, University of Florida, Gainesville, FL, USA.ORCID 0000-0002-9143-9451
University of Florida · USIowa State University · USUniversity of Dayton · USUniversity of Kentucky · US

Funding

Mechanistic modeling of the innate immune responses of the human lung to understand the inter-individual heterogeneity of COVID-19 pneumoniaR01HL169974 · NHLBI · UNIVERSITY OF FLORIDA · PI REINHARD LAUBENBACHER, Borna Mehrad · 2023 to 2026
$2.9M
NHLBI NIH HHS R01 HL169974
6 · The paper itself

Abstract

This paper addresses two topics in systems biology, the hypothesis that biological systems are modular and the problem of relating structure and function of biological systems. The focus here is on gene regulatory networks, represented by Boolean network models, a commonly used tool. Most of the research on gene regulatory network modularity has focused on network structure, typically represented through either directed or undirected graphs. But since gene regulation is a highly dynamic process as it determines the function of cells over time, it is natural to consider functional modularity as well. One of the main results is that the structural decomposition of a network into modules induces an analogous decomposition of the dynamic structure, exhibiting a strong relationship between network structure and function. An extensive simulation study provides evidence for the hypothesis that modularity might have evolved to increase phenotypic complexity while maintaining maximal dynamic robustness to external perturbations.

Indexed as

Gene Regulatory NetworksSystems BiologyComputer SimulationModels, BiologicalBoolean networksdecomposition theorystructure and function of networks

Identifiers

PMID37876275
PMCPMC10598444
OpenAlexW4387930971

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.