Integrating unsupervised language model with multi-view multiple sequence alignments for high-accuracy inter-chain contact prediction.

Liu, Zi; Zhu, Yi-Heng; Shen, Long-Chen; Xiao, Xuan; Qiu, Wang-Ren; Yu, Dong-Jun

Liu, Zi; Zhu, Yi-Heng; Shen, Long-Chen; Xiao, Xuan; Qiu, Wang-Ren; Yu, Dong-Jun.

Afiliação

Liu Z; School of Computer Science and Engineering, Nanjing University of Science and Technology, Xiaolingwei 200, Nanjing, 210094, China; Computer Department, Jingdezhen Ceramic University, Jingdezhen, 333403 , China.
Zhu YH; College of Artificial Intelligence, Nanjing Agricultural University, Nanjing, 210095 , China.
Shen LC; School of Computer Science and Engineering, Nanjing University of Science and Technology, Xiaolingwei 200, Nanjing, 210094, China.
Xiao X; Computer Department, Jingdezhen Ceramic University, Jingdezhen, 333403 , China.
Qiu WR; Computer Department, Jingdezhen Ceramic University, Jingdezhen, 333403 , China. Electronic address: qiuwangren@jci.edu.cn.
Yu DJ; School of Computer Science and Engineering, Nanjing University of Science and Technology, Xiaolingwei 200, Nanjing, 210094, China. Electronic address: njyudj@njust.edu.cn.

Comput Biol Med ; 166: 107529, 2023 Sep 20.

Article em En | MEDLINE | ID: mdl-37748220

Palavras-chave

Co-evolution diversity; Deep residual networks; Inter-chain contact prediction; Multiple sequence alignment; Pre-trained language models

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article