Computational Studies of Host-Pathogen Protein-Protein Interactions - A Case Study of the H.Sapiens-M. Tuberclulosis H37RV System

Abstract

Using H. sapiens?M. tuberculosis H37Rv as a model, we have conducted a systematic computational study on host?pathogen PPIs. We have identified important reliable pathogen PPI datasets that can be used for the analysis of host?pathogen PPIs studies in Chapter 2, which also enables the topological and sequence properties analysis for the first time on the pathogen side. We have developed one of currently most compre- hensive pathway databases?IntPath?in Chapter 3, which for the first time enables functional analysis on both host and pathogen. We have proposed two prediction ap- proaches: the accurate DDI-based prediction approach in Chapter 4 and the accurate homology-based prediction approach in Chapter 5. Both of these prediction approaches have better performance than their conventional counterparts. We have provided high- quality predicted H. sapiens?M. tuberculosis H37Rv PPIs datasets that can be used for a variety of purposes. Based on the predicted H. sapiens?M. tuberculosis H37Rv PPIs, we have observed some very important properties for both host and pathogen proteins involved in the host?pathogen PPIs.