Different Recognition of Protein Features Depending on Deep Learning Models: A Case Study of Aromatic Decarboxylase UbiD.

Watanabe, Naoki; Kuriya, Yuki; Murata, Masahiro; Yamamoto, Masaki; Shimizu, Masayuki; Araki, Michihiro

Watanabe, Naoki; Kuriya, Yuki; Murata, Masahiro; Yamamoto, Masaki; Shimizu, Masayuki; Araki, Michihiro.

Afiliação

Watanabe N; Artificial Intelligence Center for Health and Biomedical Research, National Institutes of Biomedical Innovation, Health and Nutrition, 3-17 Senrioka-shinmachi, Settsu 566-0002, Japan.
Kuriya Y; Artificial Intelligence Center for Health and Biomedical Research, National Institutes of Biomedical Innovation, Health and Nutrition, 3-17 Senrioka-shinmachi, Settsu 566-0002, Japan.
Murata M; Graduate School of Science, Technology and Innovation, Kobe University, 1-1 Rokkodai, Nada-Ku, Kobe 657-8501, Japan.
Yamamoto M; Artificial Intelligence Center for Health and Biomedical Research, National Institutes of Biomedical Innovation, Health and Nutrition, 3-17 Senrioka-shinmachi, Settsu 566-0002, Japan.
Shimizu M; Bacchus Bio Innovation Co., Ltd., 6-3-7 Minatojima minami-machi, Kobe 650-0047, Japan.
Araki M; Artificial Intelligence Center for Health and Biomedical Research, National Institutes of Biomedical Innovation, Health and Nutrition, 3-17 Senrioka-shinmachi, Settsu 566-0002, Japan.

Biology (Basel) ; 12(6)2023 May 31.

Article em En | MEDLINE | ID: mdl-37372080

Palavras-chave

deep learning; explainable artificial intelligence; feature extraction; integrated gradients; protein annotation; protein feature

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Biology (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Japão

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