Strategies of Explanatory Abstraction in Molecular Systems Biology.
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 dri...
| Publicado en: | Philosophy of Science Vol. 85; no. 5; pp. 955 - 969 |
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| Formato: | Artículo |
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Cambridge University Press
Dec2018
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=133565556&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 133565556 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00318248 PSC jtl: Philosophy of Science issn: 00318248 maglogo: N pubinfo: dt: Dec2018 vid: 85 iid: 5 pid: 15979 pub: Cambridge University Press artinfo: ui: 133565556 10.1086/699742 ppf: 955 ppct: 14 formats: fmt: @attributes: type: P size: 1.5MB tig: atl: Strategies of Explanatory Abstraction in Molecular Systems Biology. aug: au: Jones, Nicholaos su: Systems biology Escherichia coli Chemotaxis Biochemistry Automatic control systems sug: subj: Systems biology Escherichia coli Chemotaxis Biochemistry Automatic control systems ab: 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. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Copyright of Philosophy of Science is the property of Cambridge University Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. item: Philosophy of Science holder: Cambridge University Press dt: @attributes: year: 2018 holdings: @attributes: islocal: N |
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