Machine Learning Modeling Predicting Vascular Endothelial Growth Factor Receptor 2 (VEGFR2) Inhibitors Structure-Activity Relationships Using Quantum DFT Descriptors.
Resource URI: https://dblp.l3s.de/d2r/resource/publications/conf/clei/SalasOMLM23
Home
|
Example Publications
Property
Value
dcterms:
bibliographicCitation
<
http://dblp.uni-trier.de/rec/bibtex/conf/clei/SalasOMLM23
>
dc:
creator
<
https://dblp.l3s.de/d2r/resource/authors/Emilio_Lamazares
>
dc:
creator
<
https://dblp.l3s.de/d2r/resource/authors/Jos%E2%88%9A%C2%A9_Ignacio_Abreu_Salas
>
dc:
creator
<
https://dblp.l3s.de/d2r/resource/authors/Karel_Mena-Ulacia
>
dc:
creator
<
https://dblp.l3s.de/d2r/resource/authors/Pedro_Mirabal
>
dc:
creator
<
https://dblp.l3s.de/d2r/resource/authors/Roberto_Espinosa_Oliva
>
foaf:
homepage
<
http://dx.doi.org/doi.org%2F10.1109%2FCLEI60451.2023.10346152
>
foaf:
homepage
<
https://doi.org/10.1109/CLEI60451.2023.10346152
>
dc:
identifier
DBLP conf/clei/SalasOMLM23
(xsd:string)
dc:
identifier
DOI doi.org%2F10.1109%2FCLEI60451.2023.10346152
(xsd:string)
dcterms:
issued
2023
(xsd:gYear)
rdfs:
label
Machine Learning Modeling Predicting Vascular Endothelial Growth Factor Receptor 2 (VEGFR2) Inhibitors Structure-Activity Relationships Using Quantum DFT Descriptors.
(xsd:string)
foaf:
maker
<
https://dblp.l3s.de/d2r/resource/authors/Emilio_Lamazares
>
foaf:
maker
<
https://dblp.l3s.de/d2r/resource/authors/Jos%E2%88%9A%C2%A9_Ignacio_Abreu_Salas
>
foaf:
maker
<
https://dblp.l3s.de/d2r/resource/authors/Karel_Mena-Ulacia
>
foaf:
maker
<
https://dblp.l3s.de/d2r/resource/authors/Pedro_Mirabal
>
foaf:
maker
<
https://dblp.l3s.de/d2r/resource/authors/Roberto_Espinosa_Oliva
>
swrc:
pages
1-9
(xsd:string)
dcterms:
partOf
<
https://dblp.l3s.de/d2r/resource/publications/conf/clei/2023
>
owl:
sameAs
<
http://bibsonomy.org/uri/bibtexkey/conf/clei/SalasOMLM23/dblp
>
owl:
sameAs
<
http://dblp.rkbexplorer.com/id/conf/clei/SalasOMLM23
>
rdfs:
seeAlso
<
http://dblp.uni-trier.de/db/conf/clei/clei2023.html#SalasOMLM23
>
rdfs:
seeAlso
<
https://doi.org/10.1109/CLEI60451.2023.10346152
>
swrc:
series
<
https://dblp.l3s.de/d2r/resource/conferences/clei
>
dc:
title
Machine Learning Modeling Predicting Vascular Endothelial Growth Factor Receptor 2 (VEGFR2) Inhibitors Structure-Activity Relationships Using Quantum DFT Descriptors.
(xsd:string)
dc:
type
<
http://purl.org/dc/dcmitype/Text
>
rdf:
type
swrc:InProceedings
rdf:
type
foaf:Document