Impact of Machine Learning-Associated Research Strategies on the Identification of Peptide-Receptor Interactions in the Post-Omics Era.

Satake, Honoo; Osugi, Tomohiro; Shiraishi, Akira

Satake, Honoo; Osugi, Tomohiro; Shiraishi, Akira.

Afiliação

Satake H; Division of Integrative Biomolecular Function, Bioorganic Research Institute, Suntory Foundation for Life Sciences, Kyoto, Japan.
Osugi T; Division of Integrative Biomolecular Function, Bioorganic Research Institute, Suntory Foundation for Life Sciences, Kyoto, Japan.
Shiraishi A; Division of Integrative Biomolecular Function, Bioorganic Research Institute, Suntory Foundation for Life Sciences, Kyoto, Japan.

Neuroendocrinology ; 113(2): 251-261, 2023.

Article em En | MEDLINE | ID: mdl-34348315

Assuntos

Peptídeos; Projetos de Pesquisa; Animais; Humanos; Filogenia; Receptores Acoplados a Proteínas G; Aprendizado de Máquina

Palavras-chave

Deorphanization; G protein-coupled receptor; Machine learning; Neuropeptide; Peptide hormone

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Peptídeos / Projetos de Pesquisa Tipo de estudo: Diagnostic_studies / Risk_factors_studies Limite: Animals / Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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