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Strategies of Explanatory Abstraction in Molecular Systems Biology

Bibliographic Data

ID10708245
AuthorsNicholaos Jones (0000-0003-4928-5089, University of Alabama in Huntsville, corresponding author)
Year2018
Volume85
Issue5
Pages955-968
Publication date2018-12-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenuePhilosophy of Science (JOURNAL)
Journal identifiersISSN: 0031-8248 • E-ISSN: 1539-767X
PublisherCambridge University Press (CUP) (PUBLISHER)
DOI10.1086/699742
OpenAlexW2542455965
LanguageEN
Citations received1
References cited30

I consider three explanatory strategies from recent systems biology that are driven by mathematics as much as mechanistic detail. Analysis of differential equations drives the first strategy; topological analysis of network motifs drives the second; mathematical theorems from control engineering drive the third. I also distinguish three abstraction types: aggregations, which simplify by condensing details; generalizations, which simplify by generalizing details; and structurations, which simplify by contextualizing details. Using a common explanandum as a reference point—namely, the robust perfect adaptation of chemotaxis in Escherichia coli —I argue that each strategy targets various abstraction types to different mechanistic details

Abstraction · Adaptation (eye) · Bioinformatics · Biology · Epistemology · Mathematical and theoretical biology · Point (geometry) · Bioinformatics and Genomic Networks · Computer Science · Gene Regulatory Network Analysis · Mathematics · Philosophy and History of Science · Theoretical Computer Science

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Unique citing works1
Citations per year0.5
Citation span2024 - 2024 (1)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 1

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