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Computational analysis of protein interaction networks for infectious diseases.

ABSTRACT: 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.

SUBMITTER: Pan A

PROVIDER: S-EPMC7110031 | biostudies-literature | 2016 May

REPOSITORIES: biostudies-literature

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Computational analysis of protein interaction networks for infectious diseases.

Pan Archana A Lahiri Chandrajit C Rajendiran Anjana A Shanmugham Buvaneswari B

Briefings in bioinformatics 20150810 3

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 o ...[more]

PMID: 26261187

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