| https://dblp.org/rdf/schema#authoredBy
|
https://dblp.org/pid/14/6811 +
, https://dblp.org/pid/353/4286 +
, https://dblp.org/pid/165/2182 +
, https://dblp.org/pid/295/2077 +
, https://dblp.org/pid/93/6765 +
, https://dblp.org/pid/281/4265 +
, https://dblp.org/pid/353/4564 +
, https://dblp.org/pid/08/10685 +
|
| https://dblp.org/rdf/schema#bibtexType
|
http://purl.org/net/nknouf/ns/bibtex#Article +
|
| https://dblp.org/rdf/schema#createdBy
|
https://dblp.org/pid/14/6811 +
, https://dblp.org/pid/353/4286 +
, https://dblp.org/pid/165/2182 +
, https://dblp.org/pid/295/2077 +
, https://dblp.org/pid/93/6765 +
, https://dblp.org/pid/281/4265 +
, https://dblp.org/pid/353/4564 +
, https://dblp.org/pid/08/10685 +
|
| https://dblp.org/rdf/schema#documentPage
|
https://doi.org/10.1021/ACS.JCIM.3C00273 +
|
| https://dblp.org/rdf/schema#doi
|
https://doi.org/10.1021/ACS.JCIM.3C00273 +
|
| https://dblp.org/rdf/schema#listedOnTocPage
|
https://dblp.org/db/journals/jcisd/jcisd63 +
|
| https://dblp.org/rdf/schema#monthOfPublication
|
--07
|
| https://dblp.org/rdf/schema#numberOfCreators
|
8
|
| https://dblp.org/rdf/schema#pagination
|
4277-4290
|
| https://dblp.org/rdf/schema#primaryDocumentPage
|
https://doi.org/10.1021/ACS.JCIM.3C00273 +
|
| https://dblp.org/rdf/schema#publishedIn
|
J. Chem. Inf. Model.
|
| https://dblp.org/rdf/schema#publishedInJournal
|
J. Chem. Inf. Model.
|
| https://dblp.org/rdf/schema#publishedInJournalVolume
|
63
|
| https://dblp.org/rdf/schema#publishedInJournalVolumeIssue
|
14
|
| https://dblp.org/rdf/schema#publishedInStream
|
https://dblp.org/streams/journals/jcisd +
|
| https://dblp.org/rdf/schema#title
|
A Highly Sensitive Model Based on Graph Neural Networks for Enzyme Key Catalytic Residue Prediction.
|
| https://dblp.org/rdf/schema#yearOfPublication
|
2023
|
| owl:sameAs |
https://doi.org/10.1021/ACS.JCIM.3C00273 +
, http://dx.doi.org/10.1021/ACS.JCIM.3C00273 +
|
| rdf:type |
https://dblp.org/rdf/schema#Publication +
, https://dblp.org/rdf/schema#Article +
|
| rdfs:label |
Xiaowei Shen et al.: A Highly Sensitive Model Based on Graph Neural Networks for Enzyme Key Catalytic Residue Prediction. (2023)
|
