BIOINFOLET - A Quarterly Journal of Life Sciences
Web of Science
  • Year: 2021
  • Volume: 18
  • Issue: 2

Immunoinformatics II: Computational analysis of hypothetical protein as apotential diagnostic marker for bovine trichomonosis

  • Author:
  • Geethanjali Teja, R. Karli
  • Total Page Count: 4
  • Page Number: 279 to 282

Department of Biotechnology, Govt. Degree College, Kukatpally, Hyderabad, India

Online published on 28 June, 2021.

Abstract

Bovine trichomonosis is venereal sickness of cattle caused by Tritrichomonas foetus. In farm animals, the parasite infects urogenital tract and cause symptoms which are similar to those due to the infection of Trichomonas vaginalis in humans. In cats, the parasite colonizes gastrointestinal tract and results into prolonged watery diarrhea which can result in abandonment or euthanasia. However, lack of rapid kits for identification of Trichomonas foetus infection is not yet available. For this purpose, transcriptomics and proteomics based information of Trichomonas vaginalis was analyzed during present investigation, to obtain hypothetical proteins. TMMHM method revealed them as transmembrane and membrane related proteins respectively. These proteins were analyzed using epitope prediction and evaluation equipment. The hypothetical proteins indicated that they can be exploited as diagnostics.

Keywords

B-Cell epitope prediction, Trans membrane domains, Point of care diagnostics, Comparative genomics