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dcterms:bibliographicCitation <http://dblp.uni-trier.de/rec/bibtex/journals/jcamd/XiongWWLPWWGB23>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Chenmei_Li>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Christopher_J._Butch>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Junyu_Wu>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Lingyun_Gu>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Yiqing_Wang>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Yisheng_Wang>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Youjin_Xiong>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Yusong_Peng>
foaf:homepage <http://dx.doi.org/doi.org%2F10.1007%2Fs10822-023-00523-3>
foaf:homepage <https://doi.org/10.1007/s10822-023-00523-3>
dc:identifier DBLP journals/jcamd/XiongWWLPWWGB23 (xsd:string)
dc:identifier DOI doi.org%2F10.1007%2Fs10822-023-00523-3 (xsd:string)
dcterms:issued 2023 (xsd:gYear)
swrc:journal <https://dblp.l3s.de/d2r/resource/journals/jcamd>
rdfs:label Improving drug discovery with a hybrid deep generative model using reinforcement learning trained on a Bayesian docking approximation. (xsd:string)
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Chenmei_Li>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Christopher_J._Butch>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Junyu_Wu>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Lingyun_Gu>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Yiqing_Wang>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Yisheng_Wang>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Youjin_Xiong>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Yusong_Peng>
swrc:month November (xsd:string)
swrc:number 11 (xsd:string)
swrc:pages 507-517 (xsd:string)
owl:sameAs <http://bibsonomy.org/uri/bibtexkey/journals/jcamd/XiongWWLPWWGB23/dblp>
owl:sameAs <http://dblp.rkbexplorer.com/id/journals/jcamd/XiongWWLPWWGB23>
rdfs:seeAlso <http://dblp.uni-trier.de/db/journals/jcamd/jcamd37.html#XiongWWLPWWGB23>
rdfs:seeAlso <https://doi.org/10.1007/s10822-023-00523-3>
dc:title Improving drug discovery with a hybrid deep generative model using reinforcement learning trained on a Bayesian docking approximation. (xsd:string)
dc:type <http://purl.org/dc/dcmitype/Text>
rdf:type swrc:Article
rdf:type foaf:Document
swrc:volume 37 (xsd:string)