Computational analysis of protein interaction networks for infectious diseases

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. T...

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Main Authors: Pan, Archana, Lahiri, Chandrajit *, Rajendiran, Anjana, Shanmugham, Buvaneswari
Format: Article
Language:English
Published: OUP 2016
Subjects:
Online Access:http://eprints.sunway.edu.my/903/
http://eprints.sunway.edu.my/903/1/Chandrajit%20Computational%20analysis%20of%20protein%20interaction%20Pre-Print.pdf
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author Pan, Archana
Lahiri, Chandrajit *
Rajendiran, Anjana
Shanmugham, Buvaneswari
author_facet Pan, Archana
Lahiri, Chandrajit *
Rajendiran, Anjana
Shanmugham, Buvaneswari
author_sort Pan, Archana
building SU Institutional Repository
collection Online Access
description 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.
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spelling sunway-9032020-01-23T02:29:06Z http://eprints.sunway.edu.my/903/ Computational analysis of protein interaction networks for infectious diseases Pan, Archana Lahiri, Chandrajit * Rajendiran, Anjana Shanmugham, Buvaneswari QR355 Virology 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. OUP 2016-05-01 Article PeerReviewed text en cc_by_4 http://eprints.sunway.edu.my/903/1/Chandrajit%20Computational%20analysis%20of%20protein%20interaction%20Pre-Print.pdf 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
spellingShingle QR355 Virology
Pan, Archana
Lahiri, Chandrajit *
Rajendiran, Anjana
Shanmugham, Buvaneswari
Computational analysis of protein interaction networks for infectious diseases
title Computational analysis of protein interaction networks for infectious diseases
title_full Computational analysis of protein interaction networks for infectious diseases
title_fullStr Computational analysis of protein interaction networks for infectious diseases
title_full_unstemmed Computational analysis of protein interaction networks for infectious diseases
title_short Computational analysis of protein interaction networks for infectious diseases
title_sort computational analysis of protein interaction networks for infectious diseases
topic QR355 Virology
url http://eprints.sunway.edu.my/903/
http://eprints.sunway.edu.my/903/1/Chandrajit%20Computational%20analysis%20of%20protein%20interaction%20Pre-Print.pdf