Hi-Jack: a novel computational framework for pathway-based inference of host–pathogen interactions | Zendy

Dimitrios Kleftogiannis | Zendy; Limsoon Wong | Zendy; John A. C. Archer | Zendy; Panos Kalnis | Zendy

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Hi-Jack: a novel computational framework for pathway-based inference of host–pathogen interactions

Author(s) -

Dimitrios Kleftogiannis,

Limsoon Wong,

John A. C. Archer,

Panos Kalnis

Publication year - 2015

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btv138

Subject(s) - biology , human pathogen , host (biology) , pathogen , metabolic pathway , computational biology , pentose phosphate pathway , metabolic network , host–pathogen interaction , genetics , gene , metabolism , biochemistry , virulence , glycolysis

Pathogens infect their host and hijack the host machinery to produce more progeny pathogens. Obligate intracellular pathogens, in particular, require resources of the host to replicate. Therefore, infections by these pathogens lead to alterations in the metabolism of the host, shifting in favor of pathogen protein production. Some computational identification of mechanisms of host-pathogen interactions have been proposed, but it seems the problem has yet to be approached from the metabolite-hijacking angle.

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