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Https://dblp.org/rec/journals/tcbb/TangZWZ23
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https://dblp.org/rec/journals/tcbb/TangZWZ23
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https://dblp.org/rdf/schema#documentPage https://doi.org/10.1109/TCBB.2022.3172340 +
https://dblp.org/rdf/schema#doi https://doi.org/10.1109/TCBB.2022.3172340 + , http://dx.doi.org/10.1109/TCBB.2022.3172340 +
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https://dblp.org/rdf/schema#monthOfPublication --03
https://dblp.org/rdf/schema#numberOfCreators 4
https://dblp.org/rdf/schema#pagination 1030-1040
https://dblp.org/rdf/schema#primaryDocumentPage https://doi.org/10.1109/TCBB.2022.3172340 +
https://dblp.org/rdf/schema#publishedIn IEEE ACM Trans. Comput. Biol. Bioinform.
https://dblp.org/rdf/schema#publishedInJournal IEEE ACM Trans. Comput. Biol. Bioinform.
https://dblp.org/rdf/schema#publishedInJournalVolume 20
https://dblp.org/rdf/schema#publishedInJournalVolumeIssue 2
https://dblp.org/rdf/schema#title FMGNN: A Method to Predict Compound-Protein Interaction With Pharmacophore Features and Physicochemical Properties of Amino Acids.
https://dblp.org/rdf/schema#yearOfPublication 2023
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rdfs:label Chunyan Tang et al.: FMGNN: A Method to Predict Compound-Protein Interaction With Pharmacophore Features and Physicochemical Properties of Amino Acids. (2023)
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