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dc.contributor.author
Jeschek, Markus
dc.contributor.author
Gerngross, Daniel
dc.contributor.author
Panke, Sven
dc.date.accessioned
2019-10-17T06:40:53Z
dc.date.available
2019-10-17T06:40:53Z
dc.date.issued
2017-10
dc.identifier.issn
0958-1669
dc.identifier.issn
1879-0429
dc.identifier.other
10.1016/j.copbio.2017.06.014
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/371013
dc.identifier.doi
10.3929/ethz-b-000371013
dc.description.abstract
Elimination of metabolic flux imbalances in microbial cell factories is an important part in the establishment of viable biotechnological production processes. However, due to the high complexity of cellular metabolism, the limited a priori knowledge about the majority of production pathways and a lack of forward design standards, metabolic engineers strongly rely on empirical screening methodologies to achieve the required improvement of cell behavior. Combinatorial pathway engineering provides an interesting tool to identify global solutions for intricate pathways, but methods for the reduction of combinatorial library size are inevitably required to restrict the experimental effort to an affordable size. Here we review recent advances from this field by scrutinizing commonly applied diversification methods and highlighting crucial strategies for the minimization of experimental effort.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Elsevier
en_US
dc.rights.uri
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.title
Combinatorial pathway optimization for streamlined metabolic engineering
en_US
dc.type
Review Article
dc.rights.license
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
dc.date.published
2017-08-17
ethz.journal.title
Current Opinion in Biotechnology
ethz.journal.volume
47
en_US
ethz.journal.abbreviated
Curr. opin. biotechnol.
ethz.pages.start
142
en_US
ethz.pages.end
151
en_US
ethz.size
17 p. accepted version
en_US
ethz.version.deposit
acceptedVersion
en_US
ethz.grant
Standarization and orthogonalization of the gene expression flow for robust engineering of NTN (new-to-nature) biological properties.
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
Amsterdam
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.::03602 - Panke, Sven / Panke, Sven
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.::03602 - Panke, Sven / Panke, Sven
en_US
ethz.grant.agreementno
289326
ethz.grant.fundername
EC
ethz.grant.funderDoi
10.13039/501100000780
ethz.grant.program
FP7
ethz.date.deposited
2017-08-21T15:53:20Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2019-10-17T06:41:04Z
ethz.rosetta.lastUpdated
2019-10-17T06:41:04Z
ethz.rosetta.versionExported
true
dc.identifier.olduri
http://hdl.handle.net/20.500.11850/179399
dc.identifier.olduri
http://hdl.handle.net/20.500.11850/371013
ethz.COinS
ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.atitle=Combinatorial%20pathway%20optimization%20for%20streamlined%20metabolic%20engineering&rft.jtitle=Current%20Opinion%20in%20Biotechnology&rft.date=2017-10&rft.volume=47&rft.spage=142&rft.epage=151&rft.issn=0958-1669&1879-0429&rft.au=Jeschek,%20Markus&Gerngross,%20Daniel&Panke,%20Sven&rft.genre=article&
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