Evidence map›Paper›PMID 34268705›Full record

ArticleTheory in biosciences = Theorie in den Biowissenschaften2021

Geometry and symmetry in biochemical reaction systems.

Raffaella Mulas, Rubén J Sánchez-García, Ben D MacArthur

Abstract read
In one paragraph

Article in Theory in biosciences = Theorie in den Biowissenschaften, 2021. 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

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

3 authors.

Raffaella MulasMathematical Sciences, University of Southampton, Southampton, UK. R.Mulas@soton.ac.uk.ORCID http://orcid.org/0000-0003-4995-6479
Rubén J Sánchez-GarcíaMathematical Sciences, University of Southampton, Southampton, UK.
Ben D MacArthurMathematical Sciences, University of Southampton, Southampton, UK.

Funding

Alan Turing Institute EP/N510129/1
6 · The paper itself

Abstract

Complex systems of intracellular biochemical reactions have a central role in regulating cell identities and functions. Biochemical reaction systems are typically studied using the language and tools of graph theory. However, graph representations only describe pairwise interactions between molecular species and so are not well suited to modelling complex sets of reactions that may involve numerous reactants and/or products. Here, we make use of a recently developed hypergraph theory of chemical reactions that naturally allows for higher-order interactions to explore the geometry and quantify functional redundancy in biochemical reactions systems. Our results constitute a general theory of automorphisms for oriented hypergraphs and describe the effect of automorphism group structure on hypergraph Laplacian spectra.

Indexed as

AlgorithmsComplex systemsHypergraphsSpectral propertiesSymmetry

Identifiers

PMID34268705
PMCPMC8568762

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.