SCHEMA-Designed Variants of Human Arginase I and II Reveal Sequence Elements Important to Stability and Catalysis
dc.contributor.author
Romero, Philip A.
dc.contributor.author
Stone, Daithi
dc.contributor.author
Lamb, Don
dc.contributor.author
Chantranupong, Lynne
dc.contributor.author
Krause, Andreas
dc.contributor.author
Miklos, Aleksandr E.
dc.contributor.author
Hughes, R.E.
dc.contributor.author
Fechtel, Blake
dc.contributor.author
Ellington, Andrew D.
dc.contributor.author
Arnold, Frances H.
dc.contributor.author
Georgiou, George
dc.date.accessioned
2017-10-11T11:15:54Z
dc.date.available
2017-06-10T02:00:00Z
dc.date.available
2017-10-11T11:15:54Z
dc.date.issued
2012-06
dc.identifier.issn
2161-5063
dc.identifier.other
10.1021/sb300014t
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/50956
dc.language.iso
en
en_US
dc.publisher
American Chemical Society
en_US
dc.subject
Enzyme engineering
en_US
dc.subject
Arginase
en_US
dc.subject
Homologous recombination
en_US
dc.subject
SCHEMA library design
en_US
dc.subject
Active learning
en_US
dc.subject
Protein stability
en_US
dc.title
SCHEMA-Designed Variants of Human Arginase I and II Reveal Sequence Elements Important to Stability and Catalysis
en_US
dc.type
Journal Article
dc.date.published
2012-03-30
ethz.journal.title
ACS Synthetic Biology
ethz.journal.volume
1
en_US
ethz.journal.issue
6
en_US
ethz.journal.abbreviated
ACS Synth. Biol.
ethz.pages.start
221
en_US
ethz.pages.end
228
en_US
ethz.identifier.wos
ethz.identifier.nebis
006888306
ethz.publication.place
s.l.
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02150 - Dep. Informatik / Dep. of Computer Science::02661 - Institut für Maschinelles Lernen / Institute for Machine Learning::03908 - Krause, Andreas / Krause, Andreas
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02150 - Dep. Informatik / Dep. of Computer Science::02661 - Institut für Maschinelles Lernen / Institute for Machine Learning::03908 - Krause, Andreas / Krause, Andreas
ethz.date.deposited
2017-06-10T02:00:33Z
ethz.source
ECIT
ethz.identifier.importid
imp59364f5e2d17726390
ethz.ecitpid
pub:83183
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2017-07-14T16:37:23Z
ethz.rosetta.lastUpdated
2023-02-06T14:39:05Z
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true
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Journal Article [128813]