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Background  Emergence of multiple drug resistant strains of  M. tuberculosis  (MDR-TB) threatens to derail global efforts aimed at reigning in the pathogen. Co-infections of  M. tuberculosis  with HIV are difficult to treat. To counter these new challenges, it is essential to study the interactions between  M. tuberculosis  and the host to learn how these bacteria cause disease.    Results  We report a systematic flow to predict the host pathogen interactions (HPIs) between  M. tuberculosis  and  Homo sapiens  based on sequence motifs. First, protein sequences were used as initial input for identifying the HPIs by ‘interolog’ method. HPIs were further filtered by prediction of domain-domain interactions (DDIs). Functional annotations of protein and publicly available experimental results were applied to filter the remaining HPIs. Using such a strategy, 118 pairs of HPIs were identified, which involve 43 proteins from  M. tuberculosis  and 48 proteins from  Homo sapiens . A biological interaction network between  M. tuberculosis  and  Homo sapiens  was then constructed using the predicted inter- and intra-species interactions based on the 118 pairs of HPIs. Finally, a web accessible database named PATH (Protein interactions of  M. tuberculosis  and Human) was constructed to store these predicted interactions and proteins.    Conclusions  This interaction network will facilitate the research on host-pathogen protein-protein interactions, and may throw light on how  M. tuberculosis  interacts with its host.    Electronic supplementary material  The online version of this article (doi:10.1186/s12859-015-0535-y) contains supplementary material, which is available to authorized users.

Prediction of host - pathogen protein interactions between Mycobacterium tuberculosis and Homo sapiens using sequence motifs