Computational analysis of protein interaction networks for infectious diseases

Pan, Archana and Lahiri, Chandrajit * and Rajendiran, Anjana and Shanmugham, Buvaneswari (2016) Computational analysis of protein interaction networks for infectious diseases. Briefings in Bioinformatics, 17 (3). pp. 517-526. ISSN 1467-5463

Chandrajit Computational analysis of protein interaction Pre-Print.pdf - Submitted Version
Available under License Creative Commons Attribution.

Download (894kB) | Preview


Infectious diseases caused by pathogens, including viruses, bacteria and parasites, pose a serious threat to human health worldwide. Frequent changes in the pattern of infection mechanisms and the emergence of multidrug resistant strains among pathogens have weakened the current treatment regimen. This necessitates the development of new therapeutic interventions to prevent and control such diseases. To cater to the need, analysis of protein interaction networks (PINs) has gained importance as one of the promising strategies. The present review aims to discuss various computational approaches to analyse the PINs in context to infectious diseases. Topology and modularity analysis of the network with their biological relevance, and the scenario till date about host-pathogen and intra-pathogenic protein interaction studies were delineated. This would provide useful insights to the research community thereby enabling them to design novel biomedicine against such infectious diseases.

Item Type: Article
Uncontrolled Keywords: Protein interaction network; infectious disease; pathogen; computational analyses; centrality; modularity
Subjects: Q Science > QR Microbiology > QR355 Virology
Divisions: Sunway University > School of Engineering and Technology [formerly School of Science and Technology until 2020] > Dept. Biological Sciences moved to SMLS wef 2021
Depositing User: Dr Janaki Sinnasamy
Related URLs:
Date Deposited: 18 Sep 2018 09:19
Last Modified: 23 Jan 2020 02:29

Actions (login required)

View Item View Item