Deep Neural Network Framework Based on Word Embedding for Protein Glutarylation Sites Prediction

Deep Neural Network Framework Based on Word Embedding for Protein Glutarylation Sites Prediction

In recent years, much research has found that dysregulation of glutarylation is associated with many human diseases, such as diabetes, cancer, and glutaric aciduria type I. Therefore, glutarylation identification and characterization are essential tasks for determining modification-specific proteomi...

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Bibliographic Details
Main Authors: Chuan-Ming Liu, Van-Dai Ta, Nguyen Quoc Khanh Le, Direselign Addis Tadesse, Chongyang Shi
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Life
Subjects:
glutarylation site prediction
deep neural networks
word embedding
LSTM
ELMo
GloVe
Online Access:https://www.mdpi.com/2075-1729/12/8/1213

Internet

https://www.mdpi.com/2075-1729/12/8/1213

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