Lipophilicity prediction of peptides and peptide derivatives by consensus machine learning
dc.contributor.author
Fuchs, Jens-Alexander
dc.contributor.author
Grisoni, Francesca
dc.contributor.author
Kossenjans, Michael
dc.contributor.author
Hiss, Jan Alexander
dc.contributor.author
Schneider, Gisbert
dc.date.accessioned
2018-11-12T09:45:34Z
dc.date.available
2018-11-10T12:44:58Z
dc.date.available
2018-11-12T09:45:34Z
dc.date.issued
2018-09-01
dc.identifier.issn
2040-2503
dc.identifier.issn
2040-2511
dc.identifier.other
10.1039/c8md00370j
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/302884
dc.language.iso
en
en_US
dc.publisher
Royal Society of Chemistry
en_US
dc.title
Lipophilicity prediction of peptides and peptide derivatives by consensus machine learning
en_US
dc.type
Journal Article
dc.date.published
2018-08-22
ethz.journal.title
MedChemComm
ethz.journal.volume
9
en_US
ethz.journal.issue
9
en_US
ethz.pages.start
1538
en_US
ethz.pages.end
1546
en_US
ethz.grant
Computational design of custom-tailored chemokine receptor blockers
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ethz.identifier.wos
ethz.publication.place
Cambridge
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
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
ethz.grant.agreementno
159737
ethz.grant.agreementno
159737
ethz.grant.fundername
SNF
ethz.grant.fundername
SNF
ethz.grant.funderDoi
10.13039/501100001711
ethz.grant.funderDoi
10.13039/501100001711
ethz.grant.program
Interdisziplinäres Projekt
ethz.grant.program
Interdisziplinäres Projekt
ethz.date.deposited
2018-11-10T12:44:58Z
ethz.source
WOS
ethz.eth
yes
en_US
ethz.availability
Metadata only
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ethz.rosetta.installDate
2018-11-12T09:45:42Z
ethz.rosetta.lastUpdated
2022-03-28T21:38:11Z
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Journal Article [131653]