Protein Complex Discovery by Interaction Filtering from Protein Interaction Networks Using Mutual Rank Coexpression and Sequence Similarity
Joint Authors
Kazemi-Pour, Ali
Goliaei, Bahram
Pezeshk, Hamid
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-01-27
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
The evaluation of the biological networks is considered the essential key to understanding the complex biological systems.
Meanwhile, the graph clustering algorithms are mostly used in the protein-protein interaction (PPI) network analysis.
The complexes introduced by the clustering algorithms include noise proteins.
The error rate of the noise proteins in the PPI network researches is about 40–90%.
However, only 30–40% of the existing interactions in the PPI databases depend on the specific biological function.
It is essential to eliminate the noise proteins and the interactions from the complexes created via clustering methods.
We have introduced new methods of weighting interactions in protein clusters and the splicing of noise interactions and proteins-based interactions on their weights.
The coexpression and the sequence similarity of each pair of proteins are considered the edge weight of the proteins in the network.
The results showed that the edge filtering based on the amount of coexpression acts similar to the node filtering via graph-based characteristics.
Regarding the removal of the noise edges, the edge filtering has a significant advantage over the graph-based method.
The edge filtering based on the amount of sequence similarity has the ability to remove the noise proteins and the noise interactions.
American Psychological Association (APA)
Kazemi-Pour, Ali& Goliaei, Bahram& Pezeshk, Hamid. 2015. Protein Complex Discovery by Interaction Filtering from Protein Interaction Networks Using Mutual Rank Coexpression and Sequence Similarity. BioMed Research International،Vol. 2015, no. 2015, pp.1-7.
https://search.emarefa.net/detail/BIM-1054448
Modern Language Association (MLA)
Kazemi-Pour, Ali…[et al.]. Protein Complex Discovery by Interaction Filtering from Protein Interaction Networks Using Mutual Rank Coexpression and Sequence Similarity. BioMed Research International No. 2015 (2015), pp.1-7.
https://search.emarefa.net/detail/BIM-1054448
American Medical Association (AMA)
Kazemi-Pour, Ali& Goliaei, Bahram& Pezeshk, Hamid. Protein Complex Discovery by Interaction Filtering from Protein Interaction Networks Using Mutual Rank Coexpression and Sequence Similarity. BioMed Research International. 2015. Vol. 2015, no. 2015, pp.1-7.
https://search.emarefa.net/detail/BIM-1054448
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1054448