Stringent DDI-based prediction of H. sapiens-M. tuberculosis H37Rv protein-protein interactions.

ABSTRACT:

Background

H. sapiens-M. tuberculosis H37Rv protein-protein interaction (PPI) data are very important information to illuminate the infection mechanism of M. tuberculosis H37Rv. But current H. sapiens-M. tuberculosis H37Rv PPI data are very scarce. This seriously limits the study of the interaction between this important pathogen and its host H. sapiens. Computational prediction of H. sapiens-M. tuberculosis H37Rv PPIs is an important strategy to fill in the gap. Domain-domain interaction (DDI) based prediction is one of the frequently used computational approaches in predicting both intra-species and inter-species PPIs. However, the performance of DDI-based host-pathogen PPI prediction has been rather limited.

Results

We develop a stringent DDI-based prediction approach wit

SUBMITTER: Zhou H 

PROVIDER: S-EPMC4029759 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature