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Prediction of Protein-Protein Interactions with Local Weight-Sharing Mechanism in Deep Learning
Joint Authors
Yang, Lei
Han, Yukun
Zhang, Huixue
Li, Wenlong
Dai, Yu
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-06-15
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Protein-protein interactions (PPIs) are important for almost all cellular processes, including metabolic cycles, DNA transcription and replication, and signaling cascades.
The experimental methods for identifying PPIs are always time-consuming and expensive.
Therefore, it is important to develop computational approaches for predicting PPIs.
In this paper, an improved model is proposed to use a machine learning method in the study of protein-protein interactions.
With the consideration of the factors affecting the prediction of the PPIs, a method of feature extraction and fusion is proposed to improve the variety of the features to be considered in the prediction.
Besides, with the consideration of the effect affected by the different input order of the two proteins, we propose a “Y-type” Bi-RNN model and train the network by using a method which both needs backward and forward training.
In order to insure the training time caused on the extra training either a backward one or a forward one, this paper proposes a weight-sharing policy to minimize the parameters in the training.
The experimental results show that the proposed method can achieve an accuracy of 99.57%, recall of 99.36%, sensitivity of 99.76%, precision of 99.74%, MCC of 99.14%, and AUC of 99.56% under the benchmark dataset.
American Psychological Association (APA)
Yang, Lei& Han, Yukun& Zhang, Huixue& Li, Wenlong& Dai, Yu. 2020. Prediction of Protein-Protein Interactions with Local Weight-Sharing Mechanism in Deep Learning. BioMed Research International،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1134429
Modern Language Association (MLA)
Yang, Lei…[et al.]. Prediction of Protein-Protein Interactions with Local Weight-Sharing Mechanism in Deep Learning. BioMed Research International No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1134429
American Medical Association (AMA)
Yang, Lei& Han, Yukun& Zhang, Huixue& Li, Wenlong& Dai, Yu. Prediction of Protein-Protein Interactions with Local Weight-Sharing Mechanism in Deep Learning. BioMed Research International. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1134429
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1134429