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dcterms:bibliographicCitation <http://dblp.uni-trier.de/rec/bibtex/journals/jcamd/Ye24>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Gavin_Ye>
foaf:homepage <http://dx.doi.org/doi.org%2F10.1007%2Fs10822-024-00559-z>
foaf:homepage <https://doi.org/10.1007/s10822-024-00559-z>
dc:identifier DBLP journals/jcamd/Ye24 (xsd:string)
dc:identifier DOI doi.org%2F10.1007%2Fs10822-024-00559-z (xsd:string)
dcterms:issued 2024 (xsd:gYear)
swrc:journal <https://dblp.l3s.de/d2r/resource/journals/jcamd>
rdfs:label De novo drug design as GPT language modeling: large chemistry models with supervised and reinforcement learning. (xsd:string)
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Gavin_Ye>
swrc:month December (xsd:string)
swrc:number 1 (xsd:string)
swrc:pages 20 (xsd:string)
owl:sameAs <http://bibsonomy.org/uri/bibtexkey/journals/jcamd/Ye24/dblp>
owl:sameAs <http://dblp.rkbexplorer.com/id/journals/jcamd/Ye24>
rdfs:seeAlso <http://dblp.uni-trier.de/db/journals/jcamd/jcamd38.html#Ye24>
rdfs:seeAlso <https://doi.org/10.1007/s10822-024-00559-z>
dc:title De novo drug design as GPT language modeling: large chemistry models with supervised and reinforcement learning. (xsd:string)
dc:type <http://purl.org/dc/dcmitype/Text>
rdf:type swrc:Article
rdf:type foaf:Document
swrc:volume 38 (xsd:string)