Prediction of Protein-Protein Interactions through Deep Learning Based on Sequence Feature Extraction and Interaction Network

Nguyen Quoc Khanh Le, Quang Hien Kha

研究成果: 書貢獻/報告類型會議貢獻

1 引文 斯高帕斯(Scopus)

摘要

Protein-protein interaction (PPI) is an important molecular process in the cell, which is vital to the function of the cell in the biochemical process. This study focuses on human protein. It uses protein information and the relationship of protein interaction network structure to predict PPI. Deep neural network model is implemented to realize PPI prediction. Through five-fold cross-validation, a high performance in the prediction accuracy is produced. The accuracy rate on the test set is 92.45%. To further evaluate the performance of this method, we compared it with other machine learning algorithms. The experimental results show that the method based on neural network is significantly better than the others on the same dataset. It also shows a superior performance compared to previous predictors in this field on PPI prediction.
原文英語
主出版物標題BioCAS 2022 - IEEE Biomedical Circuits and Systems Conference
主出版物子標題Intelligent Biomedical Systems for a Better Future, Proceedings
發行者Institute of Electrical and Electronics Engineers Inc.
頁面539-543
頁數5
ISBN(電子)9781665469173
DOIs
出版狀態已發佈 - 2022
事件2022 IEEE Biomedical Circuits and Systems Conference, BioCAS 2022 - Taipei, 臺灣
持續時間: 10月 13 202210月 15 2022

出版系列

名字BioCAS 2022 - IEEE Biomedical Circuits and Systems Conference: Intelligent Biomedical Systems for a Better Future, Proceedings

會議

會議2022 IEEE Biomedical Circuits and Systems Conference, BioCAS 2022
國家/地區臺灣
城市Taipei
期間10/13/2210/15/22

ASJC Scopus subject areas

  • 人工智慧
  • 訊號處理
  • 生物醫學工程
  • 電氣與電子工程
  • 神經科學(雜項)
  • 儀器

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