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In silico identification and characterization of epitope-based peptide of Buffalo TLR4
EP38829
Poster Title: In silico identification and characterization of epitope-based peptide of Buffalo TLR4
Submitted on 27 May 2022
Author(s): Shipra Chauhan, Prashant Kumar, Prashant Singh, Anuradha Bhardwaj, Sanjay Kumar, Navneet Saxena, Dharmendra Kumar, Sajjan Singh, T.K.. Datta, Varij Nayan
Affiliations: ICAR-National Dairy Research Institute, Karnal, Haryana; ICAR-Central Institute Of Research On Buffaloes, Hisar, Haryana; ICAR-National Research Centre on Equines, Hisar, Haryana
This poster was presented at National Conference on Natural Sciences: Exploration through Innovations (NCNSEI) ( May 27-28, 2022) at Maharaja Agrasen University, Baddi, Solan, Himachal Pradesh
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Poster Information
Abstract: Buffaloes are an important animal in the animal production system but it has been hampered by a number of problems like low conception rate, late sexual maturity, and susceptibility to diseases .in this context TLR4 is one of the most important components of the immune system which detects pathogenic microorganisms and initiates an immediate immune response. Earlier studies have revealed a sharp increase in TLR4 expression during the estrus phase hence, TLR4 can act as a biomarker for estrous detection and candidate marker for marker-assisted selection for the identification of diseases like mastitis in buffaloes. Major objectives of diagnostics and vaccines for veterinary or animal uses are to improve the health, production, and welfare of livestock species, increase cost-effective production of livestock, and prevent animal-human conflict in terms of disease transmission and other possible ways. Therefore, diverse approaches are needed for these seemingly different aims toward the development of estrous detection, immunodiagnostics, and vaccines. New and novel technologies linking immunology and the “-omics” techniques are required to usher in an era of great revolution towards understanding the diverse concepts and dynamics of immunology and systems biology. Computational epitope identification, design, and in silico pharmacology approaches are needed with the vast expansion of “-omics” data. The methodologies employing the structure-based epitope identification and antigen design have greater implications for the engineering of biomolecules with improved immunological properties and newer perspectives of structure-based rational design for the production of advanced immunoreagents.Summary: Buffaloes are valuable animals in animal production system as well as a major contributor to Indian economy but estrus detection had been a major bottleneck in their reproduction and management. In this context, TLR4 is one of the most important components of immune system which detects pathogen and initiates an immediate immune response. Earlier studies have revealed sharp increase in TLR4 expression during estrus phase hence, TLR4 was presumed as a biomarker for estrus identification.References: 1. Bhardwaj, A., Nayan, V., Sharma, P., Kumar, S., Pal, Y., & Singh, J. (2017). Molecular characterization, modeling, in silico analysis of equine pituitary gonadotropin alpha subunit and docking interaction studies with ganirelix. In Silico Pharmacology, 5(1), 5. doi:10.1007/s40203-017-0025-1
2. Nayan, V., Onteru, S. K., & Singh, D. (2021). Epitope-based in silico peptide design yields peptide-directed antibodies that recognize the buffalo luteinizing hormone. International Journal of Biological Macromolecules, 176, 260-271. doi: https://doi.org/10.1016/j.ijbiomac.2021.02.083
3. Onteru, S. K., Baddela, V. S., Ravinder, R., Kaipa, O., Nayan, V., Singh, P., . . . Singh, D. (2016). Direct saliva transcript analysis as a novel non-invasive method for oestrus marker detection in buffaloes. Biomarkers, 21(2), 99-101. doi:10.3109/1354750X.2015.1118549.
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