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Vol. 10, Special Issue 3 (2021)

Computational and bio-informatics analysis of type I recombinant canine interferon-epsilon

Author(s):
Manikandan R, Bindu S, Dinesh M and Shanmuganathan S
Abstract:
Interferons (IFNs) are the small cellular polypeptides with a broad range of biological activities like antiviral, anti-proliferative and immunodulation activity. In the canine population, type I IFNs have primarily been explored as efficient antiviral therapeutic agents against a wide range of viral diseases. Among the type I IFNs, recombinant INF-ε has potent antiviral activity in both homologous and heterologous cell lines against a wide range of viruses. Nevertheless, there is limited knowledge regarding the computational and bioinformatics analysis of the potent antiviral therapeutic agent, the recombinant canine IFN-ε (CaIFN-ε) protein. Several online bioinformatics software programs were used to analyze the characteristics of the potent CaIFN-ε protein, including the identification of potential O-glycosylation sites, N-glycosylation sites, signal peptide cleavage sites, phosphorylation sites and trans-membrane regions. Furthermore, we utilized online software to predict antigen epitopes, secondary and three-dimensional structures of the CaIFN-ε protein. Hence, this computational and bioinformatics analysis aids in getting deeper knowledge and further insights into the promising, effective therapeutic potential of recombinant CaINF-ε for treating different viral infections in canines.
Pages: 179-182  |  393 Views  77 Downloads
How to cite this article:
Manikandan R, Bindu S, Dinesh M and Shanmuganathan S. Computational and bio-informatics analysis of type I recombinant canine interferon-epsilon. The Pharma Innovation Journal. 2021; 10(3S): 179-182.
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