6 Deep Learning in Drug Discovery
dc.contributor.author
Gawehn, Erik
dc.contributor.author
Hiss, Jan A.
dc.contributor.author
Schneider, Gisbert
dc.date.accessioned
2017-06-12T01:05:27Z
dc.date.available
2017-06-12T01:05:27Z
dc.date.issued
2016-01
dc.identifier.issn
1868-1743
dc.identifier.issn
1868-1751
dc.identifier.other
10.1002/minf.201501008
dc.identifier.uri
http://hdl.handle.net/20.500.11850/113149
dc.language.iso
en
dc.publisher
Wiley
dc.subject
Bioinformatics
dc.subject
Cheminformatics
dc.subject
Drug design
dc.subject
Machine-learning
dc.subject
Neural network
dc.subject
Virtual screening
dc.title
6 Deep Learning in Drug Discovery
dc.type
Review Article
ethz.journal.title
Molecular Informatics
ethz.journal.volume
35
ethz.journal.issue
1
ethz.journal.abbreviated
Mol. Inf.
ethz.pages.start
3
ethz.pages.end
14
ethz.identifier.wos
ethz.identifier.nebis
005861860
ethz.publication.place
Weinheim
ethz.publication.status
published
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.relation.isCitedBy
10.3929/ethz-b-000522465
ethz.date.deposited
2017-06-12T01:05:36Z
ethz.source
ECIT
ethz.identifier.importid
imp59365421a740562606
ethz.ecitpid
pub:174814
ethz.eth
yes
ethz.availability
Metadata only
ethz.rosetta.installDate
2017-07-26T18:58:28Z
ethz.rosetta.lastUpdated
2025-02-06T21:06:18Z
ethz.rosetta.versionExported
true
ethz.COinS
ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.atitle=6%20Deep%20Learning%20in%20Drug%20Discovery&rft.jtitle=Molecular%20Informatics&rft.date=2016-01&rft.volume=35&rft.issue=1&rft.spage=3&rft.epage=14&rft.issn=1868-1743&1868-1751&rft.au=Gawehn,%20Erik&Hiss,%20Jan%20A.&Schneider,%20Gisbert&rft.genre=article&rft_id=info:doi/10.1002/minf.201501008&
Files in this item
Files | Size | Format | Open in viewer |
---|---|---|---|
There are no files associated with this item. |
Publication type
-
Review Article [4185]