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dc.contributor.author
Rupp, Matthias
dc.contributor.author
Bauer, Matthias R.
dc.contributor.author
Wilcken, Rainer
dc.contributor.author
Lange, Andreas
dc.contributor.author
Reutlinger, Michael
dc.contributor.author
Boeckler, Frank M.
dc.contributor.author
Schneider, Gisbert
dc.date.accessioned
2017-06-11T10:55:32Z
dc.date.available
2017-06-11T10:55:32Z
dc.date.issued
2014-01
dc.identifier.issn
1553-734X
dc.identifier.issn
1553-7358
dc.identifier.other
10.1371/journal.pcbi.1003400
dc.identifier.uri
http://hdl.handle.net/20.500.11850/86677
dc.language.iso
en
dc.publisher
Public Library of Science
dc.title
Machine Learning Estimates of Natural Product Conformational Energies
dc.type
Journal Article
ethz.journal.title
PLoS Computational Biology
ethz.journal.volume
10
ethz.journal.issue
1
ethz.journal.abbreviated
PLOS comput. biol.
ethz.pages.start
e1003400
ethz.size
8 p.
ethz.notes
Received 27 August 2013, Accepted 10 October 2013, Published 16 January 2014.
ethz.identifier.wos
ethz.identifier.nebis
005410277
ethz.publication.place
San Francisco, CA
ethz.publication.status
published
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02020 - Dep. Chemie und Angewandte Biowiss. / Dep. of Chemistry and Applied Biosc.::02534 - Institut für Pharmazeutische Wiss. / Institute of Pharmaceutical Sciences::03852 - Schneider, Gisbert / Schneider, Gisbert
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02020 - Dep. Chemie und Angewandte Biowiss. / Dep. of Chemistry and Applied Biosc.::02534 - Institut für Pharmazeutische Wiss. / Institute of Pharmaceutical Sciences::03852 - Schneider, Gisbert / Schneider, Gisbert
ethz.date.deposited
2017-06-11T10:59:48Z
ethz.source
ECIT
ethz.identifier.importid
imp59365218c99c662348
ethz.ecitpid
pub:136453
ethz.eth
yes
ethz.availability
Metadata only
ethz.rosetta.installDate
2017-07-15T15:43:12Z
ethz.rosetta.lastUpdated
2018-11-02T15:09:04Z
ethz.rosetta.versionExported
true
ethz.COinS
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