Mahajan, G. and Mande , S.C. (2017) Using structural knowledge in the protein data bank to inform the search for potential host-microbe protein interactions in sequence space: application to Mycobacterium tuberculosis. BMC Bioinformatics.

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Abstract

A comprehensive map of the human-M. tuberculosis (MTB) protein interactome would help fill the gaps in our understanding of the disease, and computational prediction can aid and complement experimental studies towards this end. Several sequence-based in silico approaches tap the existing data on experimentally validated protein-protein interactions (PPIs); these PPIs serve as templates from which novel interactions between pathogen and host are inferred. Such comparative approaches typically make use of local sequence alignment, which, in the absence of structural details about the interfaces mediating the template interactions, could lead to incorrect inferences, particularly when multi-domain proteins are involved.

Item Type:	Article
Subjects:	Structural Biology
Depositing User:	Mr. Rameshwar Nema
Date Deposited:	08 May 2017 11:47
Last Modified:	02 Mar 2021 12:10
URI:	http://nccs.sciencecentral.in/id/eprint/423

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