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dc.contributor.author
Lormeau, Claude
dc.contributor.author
Rybiński, Mikołaj
dc.contributor.author
Stelling, Jörg
dc.contributor.editor
Dochain, Denis
dc.contributor.editor
Henrion, Didier
dc.contributor.editor
Peaucelle, Dimitri
dc.date.accessioned
2021-07-28T06:16:34Z
dc.date.available
2017-10-29T02:41:43Z
dc.date.available
2017-11-28T15:01:57Z
dc.date.available
2018-08-31T13:05:55Z
dc.date.available
2021-07-28T06:16:34Z
dc.date.issued
2017-07
dc.identifier.issn
2405-8963
dc.identifier.other
10.1016/j.ifacol.2017.08.1601
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/202017
dc.description.abstract
Computational methods enable the design of synthetic biological circuits demonstrating a specific dynamic behavior. Current methods are based on the assembly of parts characterized in different contexts, which often fail to operate as predicted when combined. Here we introduce a circuit design method that compensates for parts uncertainty by identifying circuit topologies whose behavior is robust to variations in parameters. Our heuristic topological filtering approach efficiently yields robust circuit designs in a Bayesian framework, and enables to reliably assess trade-offs between performance, robustness, and experimental feasibility, thus increasing the probability of success of circuit implementation.
en_US
dc.language.iso
en
en_US
dc.publisher
Elsevier
en_US
dc.subject
Synthetic biology
en_US
dc.subject
Biocybernetics
en_US
dc.subject
Multiobjective optimisations
en_US
dc.subject
Computer-aided circuit design
en_US
dc.subject
Robustness
en_US
dc.title
Multi-objective design of synthetic biological circuits
en_US
dc.type
Conference Paper
dc.date.published
2017-10-18
ethz.book.title
20th IFAC World Congress. Proceedings
en_US
ethz.journal.title
IFAC-PapersOnLine
ethz.journal.volume
50
en_US
ethz.journal.issue
1
en_US
ethz.pages.start
9871
en_US
ethz.pages.end
9876
en_US
ethz.event
20th IFAC World Congress (IFAC 2017)
en_US
ethz.event.location
Toulouse, France
en_US
ethz.event.date
July 9-14, 2017
en_US
ethz.identifier.scopus
ethz.publication.place
Kidlington
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02060 - Dep. Biosysteme / Dep. of Biosystems Science and Eng.::03699 - Stelling, Jörg / Stelling, Jörg
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02060 - Dep. Biosysteme / Dep. of Biosystems Science and Eng.::03699 - Stelling, Jörg / Stelling, Jörg
ethz.date.deposited
2017-10-29T02:41:45Z
ethz.source
SCOPUS
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2017-11-28T15:02:05Z
ethz.rosetta.lastUpdated
2021-02-15T01:29:32Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
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