Evidence map›Paper›PMID 37904746›Full record

ArticleArXiv2025

Complexity reduction by symmetry: uncovering the minimal regulatory network for logical computation in bacteria.

Luis A Álvarez-García, Wolfram Liebermeister, Ian Leifer, Hernán A Makse

Abstract readPreprint
PubMed Full text at PMC
In one paragraph

Article in ArXiv, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Luis A Álvarez-GarcíaLevich Institute and Physics Department, City College of New York, New York, NY 10031, USA.ORCID https://orcid.org/0009-0008-0229-2461
Wolfram LiebermeisterUniversité Paris-Saclay, INRAE, MaIAGE, 78350 Jouy-en-Josas, France.ORCID https://orcid.org/0000-0002-2568-2381
Ian LeiferLevich Institute and Physics Department, City College of New York, New York, NY 10031, USA.
Hernán A MakseLevich Institute and Physics Department, City College of New York, New York, NY 10031, USA.ORCID https://orcid.org/0000-0001-6474-1324

Funding

Application of the principle of symmetry to neural circuitry: From building blocks to neural synchronization in the connectomeR01EB028157 · NIBIB · CITY COLLEGE OF NEW YORK · PI MAKSE, HERNAN, ZIMMER, MANUEL · 2020 to 2020
$1.1M
NIBIB NIH HHS R01 EB028157
6 · The paper itself

Abstract

Symmetry principles play an important role in geometry, and physics, allowing for the reduction of complicated systems to simpler, more comprehensible models that preserve the system's features of interest. Biological systems are often highly complex and may consist of a large number of interacting parts. Using symmetry fibrations, the relevant symmetries for biological "message-passing" networks, we introduce a scheme, called Complexity Reduction by Symmetry or ComSym, to reduce the gene regulatory networks of

Indexed as

Bacillus subtiliscluster synchronizationEscherichia colifiber building blocksfibersgene logic circuitgene regulatory networkgraph fibrationk-core decompositionnetwork motifsimple directed cyclestoggle-switch

Identifiers

PMID37904746
PMCPMC10614959

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.