Prediction of Protein-Protein Interactions from Protein Sequences by Combining MatPCA Feature Extraction Algorithms and Weighted Sparse Representation Models
Joint Authors
You, Zhu-Hong
Zhan, Xinke
Li, Liping
Wang, Zheng
Li, Yang
Pan, Jie
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-09-24
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Identifying protein-protein interactions (PPIs) plays a vital role in a number of biological activities such as signal transduction, transcriptional regulation, and apoptosis.
Although advances in high-throughput technologies have generated large amounts of PPI data for different species, they only cover a small part of the entire PPI network.
Furthermore, traditional experimental methods are generally expensive, time-consuming, tedious, and prone to high false-positive rates.
Therefore, to overcome this problem, it is necessary to develop a novel computational method for predicting PPIs.
In this article, we propose an efficient computational method to detect protein-protein interactions using only protein sequence information, which integrates the MatPCA feature extraction algorithm and the weighted sparse representation classifier.
As a result, when predicting PPIs on yeast, human, and H.
pylori datasets, the proposed method achieves superior prediction performance with an average accuracy of 94.55%, 97.48%, and 83.64%, respectively.
These experimental results further illustrate that the proposed method is reliable and robust in predicting PPIs, which can be regarded as a useful complement to the experimental method.
American Psychological Association (APA)
Wang, Zheng& Li, Yang& You, Zhu-Hong& Li, Liping& Zhan, Xinke& Pan, Jie. 2020. Prediction of Protein-Protein Interactions from Protein Sequences by Combining MatPCA Feature Extraction Algorithms and Weighted Sparse Representation Models. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1196252
Modern Language Association (MLA)
Wang, Zheng…[et al.]. Prediction of Protein-Protein Interactions from Protein Sequences by Combining MatPCA Feature Extraction Algorithms and Weighted Sparse Representation Models. Mathematical Problems in Engineering No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1196252
American Medical Association (AMA)
Wang, Zheng& Li, Yang& You, Zhu-Hong& Li, Liping& Zhan, Xinke& Pan, Jie. Prediction of Protein-Protein Interactions from Protein Sequences by Combining MatPCA Feature Extraction Algorithms and Weighted Sparse Representation Models. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1196252
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1196252