WG-ICRN: Protein 8-state secondary structure prediction based on Wasserstein generative adversarial networks and residual networks with Inception modules.

Li, Shun; Yuan, Lu; Ma, Yuming; Liu, Yihui

Li, Shun; Yuan, Lu; Ma, Yuming; Liu, Yihui.

Afiliación

Li S; School of Computer Science and Technology, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China.
Yuan L; School of Computer Science and Technology, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China.
Ma Y; School of Computer Science and Technology, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China.
Liu Y; School of Computer Science and Technology, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China.

Math Biosci Eng ; 20(5): 7721-7737, 2023 02 20.

Article en En | MEDLINE | ID: mdl-37161169

Asunto(s)

Diseño de Fármacos; Estructura Secundaria de Proteína

Palabras clave

Wasserstein generative adversarial network; inception; prediction of protein 8-state secondary structures; residual network

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Diseño de Fármacos / Estructura Secundaria de Proteína Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Math Biosci Eng Año: 2023 Tipo del documento: Article País de afiliación: China

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