Predicting protein and pathway associations for understudied dark kinases using pattern-constrained knowledge graph embedding.

Salcedo, Mariah V; Gravel, Nathan; Keshavarzi, Abbas; Huang, Liang-Chin; Kochut, Krzysztof J; Kannan, Natarajan

Salcedo, Mariah V; Gravel, Nathan; Keshavarzi, Abbas; Huang, Liang-Chin; Kochut, Krzysztof J; Kannan, Natarajan.

Afiliação

Salcedo MV; Department of Biochemistry and Molecular Biology, University of Georgia, Athens, GA, United States of America.
Gravel N; Institute of Bioinformatics, University of Georgia, Athens, GA, United States of America.
Keshavarzi A; School of Computing, University of Georgia, Athens, GA, United States of America.
Huang LC; Institute of Bioinformatics, University of Georgia, Athens, GA, United States of America.
Kochut KJ; School of Computing, University of Georgia, Athens, GA, United States of America.
Kannan N; Department of Biochemistry and Molecular Biology, University of Georgia, Athens, GA, United States of America.

PeerJ ; 11: e15815, 2023.

Article em En | MEDLINE | ID: mdl-37868056

Assuntos

Reconhecimento Automatizado de Padrão; Proteínas; Humanos; Proteínas/genética; Biologia Computacional; Aprendizagem; Conhecimento

Palavras-chave

Classification; Data integration; Drug discovery; Evolution; Illuminating Druggable Genome (IDG); Link prediction; Ontologies; Pathway prediction; Random walk; Signaling networks

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Reconhecimento Automatizado de Padrão / Proteínas Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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