In silico prediction of the epitopes for the immunogenic proteins present in Mycobacterium avium subsp. paratuberculosis

D SWATHI; S SARANYA; A RAJA; K VIJAYARANI; K KUMANAN

doi:10.56093/ijans.v90i2.98766

Authors

D SWATHI Tamil Nadu Veterinary and Animal Sciences University, Chennai, Tamil Nadu 600 051 India
S SARANYA Tamil Nadu Veterinary and Animal Sciences University, Chennai, Tamil Nadu 600 051 India
A RAJA Tamil Nadu Veterinary and Animal Sciences University, Chennai, Tamil Nadu 600 051 India
K VIJAYARANI Professor and Head, Tamil Nadu Veterinary and Animal Sciences University, Chennai, Tamil Nadu 600 051 India
K KUMANAN Professor and Head, Tamil Nadu Veterinary and Animal Sciences University, Chennai, Tamil Nadu 600 051 India

https://doi.org/10.56093/ijans.v90i2.98766

Keywords:

Immunogenic proteins, 3D modeling, Mycobaterium avium, T cell Epitopes, ZDock

Abstract

Johneâ€™s disease caused by Mycobacterium avium subsp. paratuberculosis is a widespread problem in ruminants worldwide. Diagnosis of the disease during the early stages of infection is difficult. In search of newer proteins with antigenic and immunogenic characters, in silico epitope analysis of the immunogenic proteins was performed which identifies the proteins expressed during the early stages of infection and which could stimulate cell mediated immune response. T cell epitopes were predicted for the six immunogenic proteins and the epitopes were sorted based on the percentile ranking and repetition among MHC Class I alleles. 3D modeling and protein-protein interaction studies revealed that ELPLPQTYVD, DVVGYDRTQD, PDLQSVLGATPGAG, DGLRAQDD, DGLRAQDD and PGHVTDD epitopes interact with the MHC Class I molecule through hydrogen bonding. These epitopes are identified as potent candidates for the immunodiagnostic studies and could be further evaluated using in vitro studies.

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