Protein-Protein Interactions Prediction Based on Iterative Clique Extension with Gene Ontology Filtering
Joint Authors
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-01-22
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Cliques (maximal complete subnets) in protein-protein interaction (PPI) network are an important resource used to analyze protein complexes and functional modules.
Clique-based methods of predicting PPI complement the data defection from biological experiments.
However, clique-based predicting methods only depend on the topology of network.
The false-positive and false-negative interactions in a network usually interfere with prediction.
Therefore, we propose a method combining clique-based method of prediction and gene ontology (GO) annotations to overcome the shortcoming and improve the accuracy of predictions.
According to different GO correcting rules, we generate two predicted interaction sets which guarantee the quality and quantity of predicted protein interactions.
The proposed method is applied to the PPI network from the Database of Interacting Proteins (DIP) and most of the predicted interactions are verified by another biological database, BioGRID.
The predicted protein interactions are appended to the original protein network, which leads to clique extension and shows the significance of biological meaning.
American Psychological Association (APA)
Yang, Lei& Tang, Xianglong. 2014. Protein-Protein Interactions Prediction Based on Iterative Clique Extension with Gene Ontology Filtering. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-6.
https://search.emarefa.net/detail/BIM-1049961
Modern Language Association (MLA)
Yang, Lei& Tang, Xianglong. Protein-Protein Interactions Prediction Based on Iterative Clique Extension with Gene Ontology Filtering. The Scientific World Journal No. 2014 (2014), pp.1-6.
https://search.emarefa.net/detail/BIM-1049961
American Medical Association (AMA)
Yang, Lei& Tang, Xianglong. Protein-Protein Interactions Prediction Based on Iterative Clique Extension with Gene Ontology Filtering. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-6.
https://search.emarefa.net/detail/BIM-1049961
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1049961