De novo design of membranolytic anticancer peptides by adaptive machine learning
dc.contributor.author
Gabernet Garriga, Gisela
dc.contributor.supervisor
Schneider, Gisbert
dc.contributor.supervisor
Halin Winter, Cornelia
dc.date.accessioned
2018-11-16T10:16:31Z
dc.date.available
2018-11-16T09:20:46Z
dc.date.available
2018-11-16T10:16:31Z
dc.date.issued
2018
dc.identifier.uri
http://hdl.handle.net/20.500.11850/304225
dc.identifier.doi
10.3929/ethz-b-000304225
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
ETH Zurich
en_US
dc.rights.uri
http://rightsstatements.org/page/InC-NC/1.0/
dc.subject
Machine learning
en_US
dc.subject
Cancer
en_US
dc.subject
Drug design
en_US
dc.subject
Artificial intelligence
en_US
dc.subject
Anticancer agent
en_US
dc.title
De novo design of membranolytic anticancer peptides by adaptive machine learning
en_US
dc.type
Doctoral Thesis
dc.rights.license
In Copyright - Non-Commercial Use Permitted
dc.date.published
2018-11-16
ethz.size
352 p.
en_US
ethz.code.ddc
DDC - DDC::5 - Science::570 - Life sciences
ethz.identifier.diss
24991
en_US
ethz.publication.place
Zurich
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.::03852 - Schneider, Gisbert / Schneider, Gisbert
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.::03852 - Schneider, Gisbert / Schneider, Gisbert
en_US
ethz.date.deposited
2018-11-16T09:20:55Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2018-11-16T10:17:18Z
ethz.rosetta.lastUpdated
2020-02-15T15:56:46Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
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Doctoral Thesis [30549]