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Decoding bovine coronavirus immune targets:an epitope informatics approach

Animal Diseases 2024年第2期4卷 138-153页

作者： Swati Rani Mehnaj Khatoon Jagadish Hiremath Kuralayanapalya Puttahonnappa Suresh Jayashree Anandakumar nagendra nath barman Sheethal Manjunath Yamini Sri S Sharanagouda S.Patil Spatial Epidemiology Lab ICAR-National Institute of Veterinary Epidemiology and Disease InformaticsYelahankaBengaluruKarnataka 560064India College of Veterinary Science Assam Agricultural UniversityGuwahatiAssam 785013India Yuvaraja’s College Mysuru University of MysuruMysuruKarnataka 570005India

Bovine coronavirus(BCoV)poses a significant threat to the global cattle industry,causing both respiratory and gastrointestinal infections in cattle *** necessitates the development of efficacious *** several inactivated and live BCoV vaccines exist,they are predominantly limited to *** immunization of adult cattle is imperative for BCoV infection control,as it curtails viral transmission to calves and ameliorates the impact of enteric and respiratory ailments across all age groups within the *** study presents an in silico methodology for devising a multiepitope vaccine targeting *** spike glycoprotein(S)and nucleocapsid(N)proteins,which are integral elements of the BCoV structure,play pivotal roles in the viral infection cycle and immune *** constructed a remarkably effective multiepitope vaccine candidate specifically designed to combat the BCoV *** immunoinformatics technology,B-cell and T-cell epitopes were predicted and linked together using linkers and adjuvants to efficiently trigger both cellular and humoral immune responses in *** in silico construct was characterized,and assessment of its physicochemical properties revealed the formation of a stable vaccine *** 3D modeling of the vaccine construct,molecular docking revealed a stable interaction with the bovine receptor ***,the viability of the vaccine’s high expression and simple purification was demonstrated by codon optimization and in silico cloning expression into the pET28a(+)*** applying immunoinformatics approaches,researchers aim to better understand the immune response to bovine coronavirus,discover potential targets for intervention,and facilitate the development of diagnostic tools and vaccines to mitigate the impact of this virus on cattle health and the livestock *** anticipate that the design will be useful as a preventive treatment for BCoV sickness in cattle,opening the door for furthe

关键词： Immunoinformatics Bovine coronavirus Multiepitope vaccine Molecular docking In silico cloning

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