HelixADMET: a robust and endpoint extensible ADMET system incorporating self-supervised knowledge transfer.

Zhang, Shanzhuo; Yan, Zhiyuan; Huang, Yueyang; Liu, Lihang; He, Donglong; Wang, Wei; Fang, Xiaomin; Zhang, Xiaonan; Wang, Fan; Wu, Hua; Wang, Haifeng

Zhang, Shanzhuo; Yan, Zhiyuan; Huang, Yueyang; Liu, Lihang; He, Donglong; Wang, Wei; Fang, Xiaomin; Zhang, Xiaonan; Wang, Fan; Wu, Hua; Wang, Haifeng.

Afiliación

Zhang S; Department of Natural Language Processcing, Baidu International Technology (Shenzhen) Co., Ltd, Shenzhen 518000, China.
Yan Z; Department of Natural Language Processcing, Baidu International Technology (Shenzhen) Co., Ltd, Shenzhen 518000, China.
Huang Y; Department of Natural Language Processcing, Baidu International Technology (Shenzhen) Co., Ltd, Shenzhen 518000, China.
Liu L; Department of Natural Language Processcing, Baidu International Technology (Shenzhen) Co., Ltd, Shenzhen 518000, China.
He D; Department of Natural Language Processcing, Baidu International Technology (Shenzhen) Co., Ltd, Shenzhen 518000, China.
Wang W; School of Computer Science and Technology, Harbin Institute of Technology (HIT), Shenzhen 518000, China.
Fang X; Department of Natural Language Processcing, Baidu International Technology (Shenzhen) Co., Ltd, Shenzhen 518000, China.
Zhang X; Department of Natural Language Processcing, Baidu International Technology (Shenzhen) Co., Ltd, Shenzhen 518000, China.
Wang F; Department of Natural Language Processcing, Baidu International Technology (Shenzhen) Co., Ltd, Shenzhen 518000, China.
Wu H; Baidu Inc, Beijing 100000, China.
Wang H; Baidu Inc, Beijing 100000, China.

Bioinformatics ; 38(13): 3444-3453, 2022 06 27.

Article en En | MEDLINE | ID: mdl-35604079

Asunto(s)

Descubrimiento de Drogas; Aprendizaje Automático

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Descubrimiento de Drogas / Aprendizaje Automático Tipo de estudio: Prognostic_studies Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido

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