Prediction Protein-Protein Interactions with LSTM

被引:0
|
作者
Tao, Zheng [1 ]
Yao, Jiahao [1 ]
Yuan, Chao [1 ]
Zhao, Ning [1 ]
Yang, Bin [2 ]
Chen, Baitong [3 ]
Bao, Wenzheng [1 ]
机构
[1] Xuzhou Univ Technol, Sch Informat Engn, Xuzhou 221000, Jiangsu, Peoples R China
[2] Zaozhuang Univ, Sch Informat Sci & Engn, Zaozhuang 277160, Peoples R China
[3] Xuzhou 1 Peoples Hosp, Xuzhou 221000, Jiangsu, Peoples R China
关键词
Deep learning; Protein-protein interaction; LSTM; INTERACTION SITES; NETWORK;
D O I
10.1007/978-3-030-97124-3_41
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
As the basis and key of cell activities, protein plays an important role in many life activities. Protein usually does not work alone. Under normal circumstances, most proteins perform specific functions by interacting with other proteins, and play the greatest role in life activity. The prediction of protein-protein interaction (PPI) is a very basic and important research in bioinformatics. PPI controls a large number of cell activities and is the basis of most cell activities. It provides a very important theoretical basis and support for disease prevention and treatment, and drug development. Because experimental methods are slow and expensive, methods based on machine learning are gradually being applied to PPI problems. We propose a new model called BiLSTM-RF, which can effectively predict PPI.
引用
收藏
页码:540 / 545
页数:6
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