Many viruses hijack host cellular machinery through mimicry of Short Linear Motifs (SLiMs) that interact with host protein domains. SLiMs are short stretches of amino acids (~3-10) which are involved in post translational modifications (PTMs), protein-protein Interactions (PPIs), cell regulation and cell compartment targeting. To date, several studies have been conducted to identify PPIs, but no specific study to see how well different PPI-capturing methods capture SLiMs-mediated interactions. The main objectives of this study are: 1) to predict Domain Motif Interactions (DMIs) among viral and host proteins; 2) to find whether virus-human PPI data from the virhostome resource is enriched for DMIs; and 3) to see which PPI method is better for studying DMIs. Results have shown that virhostome data is enriched for DMIs and can be a good source to study motif mimicry in viruses. Permutation tests showed more enrichment for DMI in TAP data than Y2H data. Moreover, novel candidate DMIs have been discovered which need further validations. The outcome of this study will be helpful in uncovering unique strategies of viruses to interact with human proteins which will eventually be significant for pathogen research.