Mining logic gates in prokaryotic transcriptional regulation networks
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| Title: | Mining logic gates in prokaryotic transcriptional regulation networks |
|---|---|
| Authors: | Silva-Rocha, Rafael1, de Lorenzo, Víctor vdlorenzo@cnb.csic.es |
| Source: | FEBS Letters. Apr2008, Vol. 582 Issue 8, p1237-1244. 8p. |
| Subjects: | Prokaryotes, Microorganisms, Boolean algebra, Electric circuits |
| Abstract: | Abstract: Prokaryotic transcriptional networks possess a large number of regulatory modules that formally implement many of the logic gates that are typical of digital, Boolean circuits. Yet, natural regulatory elements appear most often compressed and exaggeratedly context-dependent for any reliable circuit engineering barely comparable to electronic counterparts. To overcome this impasse, we argue that designing new functions with biological parts requires (i) the recognition of logic gates not yet assigned but surely present in the meta-genome, (ii) the orthogonalization and disambiguation of natural regulatory modules and (iii) the development of ways to tackle the connectivity and the definition of boundaries between minimal biological components. [Copyright &y& Elsevier] |
| Copyright of FEBS Letters is the property of Wiley-Blackwell 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. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 31561479 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Mining logic gates in prokaryotic transcriptional regulation networks – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Silva-Rocha%2C+Rafael%22">Silva-Rocha, Rafael</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22de+Lorenzo%2C+Víctor%22">de Lorenzo, Víctor</searchLink><i> vdlorenzo@cnb.csic.es</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22FEBS+Letters%22">FEBS Letters</searchLink>. Apr2008, Vol. 582 Issue 8, p1237-1244. 8p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Prokaryotes%22">Prokaryotes</searchLink><br /><searchLink fieldCode="DE" term="%22Microorganisms%22">Microorganisms</searchLink><br /><searchLink fieldCode="DE" term="%22Boolean+algebra%22">Boolean algebra</searchLink><br /><searchLink fieldCode="DE" term="%22Electric+circuits%22">Electric circuits</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Abstract: Prokaryotic transcriptional networks possess a large number of regulatory modules that formally implement many of the logic gates that are typical of digital, Boolean circuits. Yet, natural regulatory elements appear most often compressed and exaggeratedly context-dependent for any reliable circuit engineering barely comparable to electronic counterparts. To overcome this impasse, we argue that designing new functions with biological parts requires (i) the recognition of logic gates not yet assigned but surely present in the meta-genome, (ii) the orthogonalization and disambiguation of natural regulatory modules and (iii) the development of ways to tackle the connectivity and the definition of boundaries between minimal biological components. [Copyright &y& Elsevier] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of FEBS Letters is the property of Wiley-Blackwell 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. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.febslet.2008.01.060 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 8 StartPage: 1237 Subjects: – SubjectFull: Prokaryotes Type: general – SubjectFull: Microorganisms Type: general – SubjectFull: Boolean algebra Type: general – SubjectFull: Electric circuits Type: general Titles: – TitleFull: Mining logic gates in prokaryotic transcriptional regulation networks Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Silva-Rocha, Rafael – PersonEntity: Name: NameFull: de Lorenzo, Víctor IsPartOfRelationships: – BibEntity: Dates: – D: 09 M: 04 Text: Apr2008 Type: published Y: 2008 Identifiers: – Type: issn-print Value: 00145793 Numbering: – Type: volume Value: 582 – Type: issue Value: 8 Titles: – TitleFull: FEBS Letters Type: main |
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