Improved Prediction Model of Protein Lysine Crotonylation Sites Using Bidirectional Recurrent Neural Networks.

Tng, Sian Soo; Le, Nguyen Quoc Khanh; Yeh, Hui-Yuan; Chua, Matthew Chin Heng

Tng, Sian Soo; Le, Nguyen Quoc Khanh; Yeh, Hui-Yuan; Chua, Matthew Chin Heng.

Afiliação

Tng SS; Institute of Systems Science, National University of Singapore, 29 Heng Mui Keng Terrace, Singapore 119620, Singapore.
Le NQK; Professional Master Program in Artificial Intelligence in Medicine, College of Medicine, Taipei Medical University, Taipei 106, Taiwan.
Yeh HY; Research Center for Artificial Intelligence in Medicine, Taipei Medical University, Taipei 106, Taiwan.
Chua MCH; Translational Imaging Research Center, Taipei Medical University Hospital, Taipei 110, Taiwan.

J Proteome Res ; 21(1): 265-273, 2022 01 07.

Article em En | MEDLINE | ID: mdl-34812044

Assuntos

Lisina; Processamento de Proteína Pós-Traducional; Sequência de Aminoácidos; Histonas/metabolismo; Humanos; Lisina/metabolismo; Masculino; Redes Neurais de Computação

Palavras-chave

bidirectional long short-term memory; bioinformatics; computational biology; deep learning; gated recurrent unit; lysine crotonylation pathway; post-translational modifications; protein sequence; recurrent neural network

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Processamento de Proteína Pós-Traducional / Lisina Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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