A review of aligners for protein protein interaction networks


Downloads per month over past year

Anooja Ali, . and Viswanath, R. and Patil, S.S. and Venugopal, K.R. (2017) A review of aligners for protein protein interaction networks. 2017 2nd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT). pp. 1651-1655.


Download (504kB) | Preview


Protein Protein Interaction (PPI) can be considered as network. Alignment is the process of mapping nodes from one network to another network. The main objective of network alignment is to identify small, well defined interactome units such as protein complexes or conserved pathways that are analogous in the input network. Network alignment uncovers the relationship between protein complexes and functions. Similarity between two graph structures can be identified by evaluating the topology. Network alignment identifies either topological or sequential similarity. Gene annotations reveal the functional or sequential similarity and it can be evaluated based on semantic similarity. In this paper, we review the various network aligners and classify them according to the methodologies. We discuss the different evaluation metrics and the popular databases of protein interactions.

Item Type: Article
Uncontrolled Keywords: gene annotations, network alignment, protein protein interaction, sequential similarity, topological similarity
Subjects: Faculty of Engineering > Computer Science & Information Science Engineering
Divisions: University Visvesvarayya College of Engineering > Department of Computer Science and Information Science Engineering
Depositing User: Ms Laxmi Kamble
Date Deposited: 21 Sep 2021 10:02
Last Modified: 21 Sep 2021 10:02
URI: http://eprints-bangaloreuniversity.in/id/eprint/9731

Actions (login required)

View Item View Item