Prediction of Protein-Protein Interactions Based on Domain
Joint Authors
Li, Xue
Zhang, Xiaopan
Jiao, Xiong
Yang, Lifeng
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-08-21
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
Protein-protein interactions (PPIs) play a crucial role in various biological processes.
To better comprehend the pathogenesis and treatments of various diseases, it is necessary to learn the detail of these interactions.
However, the current experimental method still has many false-positive and false-negative problems.
Computational prediction of protein-protein interaction has become a more important prediction method which can overcome the obstacles of the experimental method.
In this work, we proposed a novel computational domain-based method for PPI prediction, and an SVM model for the prediction was built based on the physicochemical property of the domain.
The outcomes of SVM and the domain-domain score were used to construct the prediction model for protein-protein interaction.
The predicted results demonstrated the domain-based research can enhance the ability to predict protein interactions.
American Psychological Association (APA)
Li, Xue& Yang, Lifeng& Zhang, Xiaopan& Jiao, Xiong. 2019. Prediction of Protein-Protein Interactions Based on Domain. Computational and Mathematical Methods in Medicine،Vol. 2019, no. 2019, pp.1-7.
https://search.emarefa.net/detail/BIM-1130606
Modern Language Association (MLA)
Li, Xue…[et al.]. Prediction of Protein-Protein Interactions Based on Domain. Computational and Mathematical Methods in Medicine No. 2019 (2019), pp.1-7.
https://search.emarefa.net/detail/BIM-1130606
American Medical Association (AMA)
Li, Xue& Yang, Lifeng& Zhang, Xiaopan& Jiao, Xiong. Prediction of Protein-Protein Interactions Based on Domain. Computational and Mathematical Methods in Medicine. 2019. Vol. 2019, no. 2019, pp.1-7.
https://search.emarefa.net/detail/BIM-1130606
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1130606