LABAMPsGCN: A framework for identifying lactic acid bacteria antimicrobial peptides based on graph convolutional neural network.

Sun, Tong-Jie; Bu, He-Long; Yan, Xin; Sun, Zhi-Hong; Zha, Mu-Su; Dong, Gai-Fang

Sun, Tong-Jie; Bu, He-Long; Yan, Xin; Sun, Zhi-Hong; Zha, Mu-Su; Dong, Gai-Fang.

Afiliação

Sun TJ; College of Computer and Information Engineering, Inner Mongolia Agricultural University, Hohhot, China.
Bu HL; College of Computer and Information Engineering, Inner Mongolia Agricultural University, Hohhot, China.
Yan X; College of Computer and Information Engineering, Inner Mongolia Agricultural University, Hohhot, China.
Sun ZH; College of Food Science and Engineering, Inner Mongolia Agricultural University, Hohhot, China.
Zha MS; College of Food Science and Engineering, Inner Mongolia Agricultural University, Hohhot, China.
Dong GF; College of Computer and Information Engineering, Inner Mongolia Agricultural University, Hohhot, China.

Front Genet ; 13: 1062576, 2022.

Article em En | MEDLINE | ID: mdl-36406112

Palavras-chave

deep learning; graph convolution neural network; lactic acid bacteria antimicrobial peptides; tripeptide; word embedding

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Front Genet Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China

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