IBPred: A sequence-based predictor for identifying ion binding protein in phage.

Yuan, Shi-Shi; Gao, Dong; Xie, Xue-Qin; Ma, Cai-Yi; Su, Wei; Zhang, Zhao-Yue; Zheng, Yan; Ding, Hui

Yuan, Shi-Shi; Gao, Dong; Xie, Xue-Qin; Ma, Cai-Yi; Su, Wei; Zhang, Zhao-Yue; Zheng, Yan; Ding, Hui.

Afiliação

Yuan SS; School of Life Science and Technology and Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu 610054, China.
Gao D; School of Life Science and Technology and Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu 610054, China.
Xie XQ; School of Life Science and Technology and Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu 610054, China.
Ma CY; School of Life Science and Technology and Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu 610054, China.
Su W; School of Life Science and Technology and Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu 610054, China.
Zhang ZY; School of Life Science and Technology and Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu 610054, China.
Zheng Y; School of Healthcare Technology, Chengdu Neusoft University, Chengdu 611844, China.
Ding H; Baotou Medical College, Baotou 014040, China.

Comput Struct Biotechnol J ; 20: 4942-4951, 2022.

Article em En | MEDLINE | ID: mdl-36147670

Palavras-chave

Feature extraction; Ion binding proteins; Predictor; Random forest

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Comput Struct Biotechnol J Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China

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