In-silico design of envelope based multi-epitope vaccine candidate against Kyasanur forest disease virus

Abstract Kyasanur forest disease virus (KFDV) causing tick-borne hemorrhagic fever which was earlier endemic to western Ghats, southern India, it is now encroaching into new geographic regions, but there is no approved medicine or effective vaccine against this deadly disease. In this study, we did...

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Autores principales:	Sathishkumar Arumugam, Prasad Varamballi
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/b03c324c7ba14bd6ba2ce0d203b8eac7
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spelling	oai:doaj.org-article:b03c324c7ba14bd6ba2ce0d203b8eac72021-12-02T19:02:39ZIn-silico design of envelope based multi-epitope vaccine candidate against Kyasanur forest disease virus10.1038/s41598-021-94488-82045-2322https://doaj.org/article/b03c324c7ba14bd6ba2ce0d203b8eac72021-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-94488-8https://doaj.org/toc/2045-2322Abstract Kyasanur forest disease virus (KFDV) causing tick-borne hemorrhagic fever which was earlier endemic to western Ghats, southern India, it is now encroaching into new geographic regions, but there is no approved medicine or effective vaccine against this deadly disease. In this study, we did in-silico design of multi-epitope subunit vaccine for KFDV. B-cell and T-cell epitopes were predicted from conserved regions of KFDV envelope protein and two vaccine candidates (VC1 and VC2) were constructed, those were found to be non-allergic and possess good antigenic properties, also gives cross-protection against Alkhurma hemorrhagic fever virus. The 3D structures of vaccine candidates were built and validated. Docking analysis of vaccine candidates with toll-like receptor-2 (TLR-2) by Cluspro and PatchDock revealed strong affinity between VC1 and TLR2. Ligplot tool was identified the intermolecular hydrogen bonds between vaccine candidates and TLR-2, iMOD server confirmed the stability of the docking complexes. JCAT sever ensured cloning efficiency of both vaccine constructs and in-silico cloning into pET30a (+) vector by SnapGene showed successful translation of epitope region. IMMSIM server was identified increased immunological responses. Finally, multi-epitope vaccine candidates were designed and validated their efficiency, it may pave the way for up-coming vaccine and diagnostic kit development.Sathishkumar ArumugamPrasad VaramballiNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-15 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Sathishkumar Arumugam Prasad Varamballi In-silico design of envelope based multi-epitope vaccine candidate against Kyasanur forest disease virus
description	Abstract Kyasanur forest disease virus (KFDV) causing tick-borne hemorrhagic fever which was earlier endemic to western Ghats, southern India, it is now encroaching into new geographic regions, but there is no approved medicine or effective vaccine against this deadly disease. In this study, we did in-silico design of multi-epitope subunit vaccine for KFDV. B-cell and T-cell epitopes were predicted from conserved regions of KFDV envelope protein and two vaccine candidates (VC1 and VC2) were constructed, those were found to be non-allergic and possess good antigenic properties, also gives cross-protection against Alkhurma hemorrhagic fever virus. The 3D structures of vaccine candidates were built and validated. Docking analysis of vaccine candidates with toll-like receptor-2 (TLR-2) by Cluspro and PatchDock revealed strong affinity between VC1 and TLR2. Ligplot tool was identified the intermolecular hydrogen bonds between vaccine candidates and TLR-2, iMOD server confirmed the stability of the docking complexes. JCAT sever ensured cloning efficiency of both vaccine constructs and in-silico cloning into pET30a (+) vector by SnapGene showed successful translation of epitope region. IMMSIM server was identified increased immunological responses. Finally, multi-epitope vaccine candidates were designed and validated their efficiency, it may pave the way for up-coming vaccine and diagnostic kit development.
format	article
author	Sathishkumar Arumugam Prasad Varamballi
author_facet	Sathishkumar Arumugam Prasad Varamballi
author_sort	Sathishkumar Arumugam
title	In-silico design of envelope based multi-epitope vaccine candidate against Kyasanur forest disease virus
title_short	In-silico design of envelope based multi-epitope vaccine candidate against Kyasanur forest disease virus
title_full	In-silico design of envelope based multi-epitope vaccine candidate against Kyasanur forest disease virus
title_fullStr	In-silico design of envelope based multi-epitope vaccine candidate against Kyasanur forest disease virus
title_full_unstemmed	In-silico design of envelope based multi-epitope vaccine candidate against Kyasanur forest disease virus
title_sort	in-silico design of envelope based multi-epitope vaccine candidate against kyasanur forest disease virus
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/b03c324c7ba14bd6ba2ce0d203b8eac7
work_keys_str_mv	AT sathishkumararumugam insilicodesignofenvelopebasedmultiepitopevaccinecandidateagainstkyasanurforestdiseasevirus AT prasadvaramballi insilicodesignofenvelopebasedmultiepitopevaccinecandidateagainstkyasanurforestdiseasevirus
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In-silico design of envelope based multi-epitope vaccine candidate against Kyasanur forest disease virus

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