LightBBB: computational prediction model of blood-brain-barrier penetration based on LightGBM.

Shaker, Bilal; Yu, Myeong-Sang; Song, Jin Sook; Ahn, Sunjoo; Ryu, Jae Yong; Oh, Kwang-Seok; Na, Dokyun

Shaker, Bilal; Yu, Myeong-Sang; Song, Jin Sook; Ahn, Sunjoo; Ryu, Jae Yong; Oh, Kwang-Seok; Na, Dokyun.

Afiliación

Shaker B; 84 Heukseok-ro, Dongjak-gu, Department of Biomedical Engineering, Chung-Ang University, Seoul 06974, Republic of Korea.
Yu MS; 84 Heukseok-ro, Dongjak-gu, Department of Biomedical Engineering, Chung-Ang University, Seoul 06974, Republic of Korea.
Song JS; Convergence Drug Research Center, Korea Research Institute of Chemical Technology, Daejeon 34114, Republic of Korea.
Ahn S; Convergence Drug Research Center, Korea Research Institute of Chemical Technology, Daejeon 34114, Republic of Korea.
Ryu JY; Convergence Drug Research Center, Korea Research Institute of Chemical Technology, Daejeon 34114, Republic of Korea.
Oh KS; Convergence Drug Research Center, Korea Research Institute of Chemical Technology, Daejeon 34114, Republic of Korea.
Na D; 84 Heukseok-ro, Dongjak-gu, Department of Biomedical Engineering, Chung-Ang University, Seoul 06974, Republic of Korea.

Bioinformatics ; 37(8): 1135-1139, 2021 05 23.

Article en En | MEDLINE | ID: mdl-33112379

Asunto(s)

Barrera Hematoencefálica; Aprendizaje Automático; Transporte Biológico; Encéfalo; Permeabilidad

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Barrera Hematoencefálica / Aprendizaje Automático Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2021 Tipo del documento: Article

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