Unbiased curriculum learning enhanced global-local graph neural network for protein thermodynamic stability prediction.

Gong, Haifan; Zhang, Yumeng; Dong, Chenhe; Wang, Yue; Chen, Guanqi; Liang, Bilin; Li, Haofeng; Liu, Lanxuan; Xu, Jie; Li, Guanbin

Gong, Haifan; Zhang, Yumeng; Dong, Chenhe; Wang, Yue; Chen, Guanqi; Liang, Bilin; Li, Haofeng; Liu, Lanxuan; Xu, Jie; Li, Guanbin.

Afiliação

Gong H; Shanghai Artificial Intelligence Laboratory, Shanghai 200000, China.
Zhang Y; School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou 510000, China.
Dong C; SRIBD, Chinese University of Hong Kong (Shenzhen), Shenzhen 518000, China.
Wang Y; Shanghai Jiao Tong University, Shanghai 200000, China.
Chen G; School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou 510000, China.
Liang B; Qilu Hospital, Shandong University, Shandong 250000, China.
Li H; School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou 510000, China.
Liu L; Shanghai Artificial Intelligence Laboratory, Shanghai 200000, China.
Xu J; SRIBD, Chinese University of Hong Kong (Shenzhen), Shenzhen 518000, China.
Li G; Shanghai Artificial Intelligence Laboratory, Shanghai 200000, China.

Bioinformatics ; 39(10)2023 Oct 03.

Article em En | MEDLINE | ID: mdl-37740312

Assuntos

Aminoácidos; Currículo; Estabilidade Proteica; Redes Neurais de Computação; Termodinâmica

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Currículo / Aminoácidos Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

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