Immunoinformatics I: Computational analysis of gp63-like protein as a potential diagnostic markers for bovine trichomonosis

Bovine Trichomonosis is venereal disease of cattle in India caused by the infection of Trichomonas foetus. However, simple, inexpensive rapid kits have not yet developed for the identification of the infection by the pathogen. Transcriptomics and proteomics based data of the casual agent, as well as, genomics-based approach to screen Trichomonas vaginalis, a closely related human parasite were analyzed to identify GP-63 proteins. TMMHM tool revealed them to be as transmembrane protein and as membrane associated protein respectively. These proteins were analyzed using Epitope Prediction and Analysis Tools in Immune Epitope Database Analysis Resource. GP-63 proteins contain several large continuous epitopes which suggest that they can be exploited for developing diagnostics. Such computational predictions may help the researchers towards development of diagnostics and therapeutics.