Structural Analysis and Prediction of Hematotoxicity Using Deep Learning Approaches.

Long, Teng-Zhi; Shi, Shao-Hua; Liu, Shao; Lu, Ai-Ping; Liu, Zhao-Qian; Li, Min; Hou, Ting-Jun; Cao, Dong-Sheng

Long, Teng-Zhi; Shi, Shao-Hua; Liu, Shao; Lu, Ai-Ping; Liu, Zhao-Qian; Li, Min; Hou, Ting-Jun; Cao, Dong-Sheng.

Afiliação

Long TZ; Xiangya School of Pharmaceutical Sciences, Central South University, Changsha 410013, Hunan, P. R. China.
Shi SH; Xiangya School of Pharmaceutical Sciences, Central South University, Changsha 410013, Hunan, P. R. China.
Liu S; Advancing Translational Medicine in Bone and Joint Diseases, School of Chinese Medicine, Hong Kong Baptist University, Hong Kong SAR, 0000, P. R. China.
Lu AP; Department of Pharmacy, Xiangya Hospital, Central South University, Changsha 410008, Hunan, P. R. China.
Liu ZQ; Advancing Translational Medicine in Bone and Joint Diseases, School of Chinese Medicine, Hong Kong Baptist University, Hong Kong SAR, 0000, P. R. China.
Li M; Xiangya School of Pharmaceutical Sciences, Central South University, Changsha 410013, Hunan, P. R. China.
Hou TJ; School of Computer Science and Engineering, Central South University, Changsha 410083, P. R. China.
Cao DS; Innovation Institute for Artificial Intelligence in Medicine of Zhejiang University, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, Zhejiang, P. R. China.

J Chem Inf Model ; 63(1): 111-125, 2023 01 09.

Article em En | MEDLINE | ID: mdl-36472475

Assuntos

Aprendizado Profundo; Simulação por Computador; Aprendizado de Máquina; Algoritmos; Descoberta de Drogas

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aprendizado Profundo Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Chem Inf Model Ano de publicação: 2023 Tipo de documento: Article

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