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المؤلفDhanushkumar, T.
المؤلفSelvam, Prasanna kumar
المؤلفM E, Santhosh
المؤلفVasudevan, Karthick
المؤلفC, George Priya Doss
المؤلفZayed, Hatem
المؤلفKamaraj, Balu
تاريخ الإتاحة2024-03-13T13:38:03Z
تاريخ النشر2024
اسم المنشورInternational Journal of Biological Macromolecules
المصدرScopus
الرقم المعياري الدولي للكتاب1418130
معرّف المصادر الموحدhttp://dx.doi.org/10.1016/j.ijbiomac.2023.128753
معرّف المصادر الموحدhttp://hdl.handle.net/10576/53035
الملخصViruses transmitted by arthropods, such as Dengue, Zika, and Chikungunya, represent substantial worldwide health threats, particularly in countries like India. The lack of approved vaccines and effective antiviral therapies calls for developing innovative strategies to tackle these arboviruses. In this study, we employed immunoinformatics methodologies, incorporating reverse vaccinology, to design a multivalent vaccine targeting the predominant arboviruses. Epitopes of B and T cells were recognized within the non-structural proteins of Dengue, Zika, and Chikungunya viruses. The predicted epitopes were enhanced with adjuvants β-defensin and RS-09 to boost the vaccine's immunogenicity. Sixteen distinct vaccine candidates were constructed, each incorporating epitopes from all three viruses. FUVAC-11 emerged as the most promising vaccine candidate through molecular docking and molecular dynamics simulations, demonstrating favorable binding interactions and stability. Its effectiveness was further evaluated using computational immunological studies confirming strong immune responses. The in silico cloning performed using the pET-28a(+) plasmid facilitates the future experimental implementation of this vaccine candidate, paving the way for potential advancements in combating these significant arboviral threats. However, further in vitro and in vivo studies are warranted to confirm the results obtained in this computational study, which highlights the effectiveness of immunoinformatics and reverse vaccinology in creating vaccines against major Arboviruses, offering a promising model for developing vaccines for other vector-borne diseases and enhancing global health security.
راعي المشروعThe authors express deep gratitude to the management of REVA University and VIT University for all the support, assistance, and constant encouragement to carry out this work.
اللغةen
الناشرElsevier
الموضوعArthropod-borne viruses' Immunoinformatics' In silico cloning' Multivalent vaccine' Reverse vaccinology' Yellow fever
العنوانRational design of a multivalent vaccine targeting arthropod-borne viruses using reverse vaccinology strategies
النوعArticle
رقم المجلد258
dc.accessType Abstract Only


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