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Simbulan AM, Banico EC, Sira EMJS, Odchimar NMO, Orosco FL. Immunoinformatics-guided approach for designing a pan-proteome multi-epitope subunit vaccine against African swine fever virus. Sci Rep 2024; 14:1354. [PMID: 38228670 DOI: 10.1038/s41598-023-51005-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Accepted: 12/29/2023] [Indexed: 01/18/2024] Open
Abstract
Despite being identified over a hundred years ago, there is still no commercially available vaccine for the highly contagious and deadly African swine fever virus (ASFV). This study used immunoinformatics for the rapid and inexpensive designing of a safe and effective multi-epitope subunit vaccine for ASFV. A total of 18,858 proteins from 100 well-annotated ASFV proteomes were screened using various computational tools to identify potential epitopes, or peptides capable of triggering an immune response in swine. Proteins from genotypes I and II were prioritized for their involvement in the recent global ASFV outbreaks. The screened epitopes exhibited promising qualities that positioned them as effective components of the ASFV vaccine. They demonstrated antigenicity, immunogenicity, and cytokine-inducing properties indicating their ability to induce potent immune responses. They have strong binding affinities to multiple swine allele receptors suggesting a high likelihood of yielding more amplified responses. Moreover, they were non-allergenic and non-toxic, a crucial prerequisite for ensuring safety and minimizing any potential adverse effects when the vaccine is processed within the host. Integrated with an immunogenic 50S ribosomal protein adjuvant and linkers, the epitopes formed a 364-amino acid multi-epitope subunit vaccine. The ASFV vaccine construct exhibited notable immunogenicity in immune simulation and molecular docking analyses, and stable profiles in secondary and tertiary structure assessments. Moreover, this study designed an optimized codon for efficient translation of the ASFV vaccine construct into the Escherichia coli K-12 expression system using the pET28a(+) vector. Overall, both sequence and structural evaluations suggested the potential of the ASFV vaccine construct as a candidate for controlling and eradicating outbreaks caused by the pathogen.
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Affiliation(s)
- Alea Maurice Simbulan
- Department of Science and Technology, Virology and Vaccine Research and Development Program, Industrial Technology Development Institute, Bicutan, 1634, Taguig, Metro Manila, Philippines
| | - Edward C Banico
- Department of Science and Technology, Virology and Vaccine Research and Development Program, Industrial Technology Development Institute, Bicutan, 1634, Taguig, Metro Manila, Philippines
| | - Ella Mae Joy S Sira
- Department of Science and Technology, Virology and Vaccine Research and Development Program, Industrial Technology Development Institute, Bicutan, 1634, Taguig, Metro Manila, Philippines
| | - Nyzar Mabeth O Odchimar
- Department of Science and Technology, Virology and Vaccine Research and Development Program, Industrial Technology Development Institute, Bicutan, 1634, Taguig, Metro Manila, Philippines
| | - Fredmoore L Orosco
- Department of Science and Technology, Virology and Vaccine Research and Development Program, Industrial Technology Development Institute, Bicutan, 1634, Taguig, Metro Manila, Philippines.
- Department of Science and Technology, S&T Fellows Program, Bicutan, 1634, Taguig, Metro Manila, Philippines.
- Department of Biology, University of the Philippines Manila, 1000, Manila, Philippines.
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Sharma P, Sharma P, Ahmad S, Kumar A. Chikungunya Virus Vaccine Development: Through Computational Proteome Exploration for Finding of HLA and cTAP Binding Novel Epitopes as Vaccine Candidates. Int J Pept Res Ther 2022; 28:50. [PMID: 35069056 PMCID: PMC8762984 DOI: 10.1007/s10989-021-10347-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/12/2021] [Indexed: 12/19/2022]
Abstract
Chikungunya virus is a major arbovirus of great public health concern in the whole world, but no vaccine is yet available, still advance therapeutic treatment and effective vaccines are in progress. The present multistep screening and structural binding analysis with CHIKV proteome exploration can be crucial in the development phase of CHIKV epitope based vaccine. The approach employed in two phases (i) Sequence based screening of peptides through propred and IEDB Server (ii) Structure based study through autodocking and NAMD VMD simulation analysis. Among all 29 extracted peptides, only two peptides 2LLANTTFPC10 of protein E3 and 98VNSVAIPLL106 of protein nsP3 were observed most prominent over all consider parameters such as peptide conserve nature, supertype population coverage, TAP binding, docking and simulation study. During docking interaction study, the best peptide and allele docked complexes such as 2LLANTTFPC10–B*0702 allele and 98VNSVAIPLL106–A*0301 allele exhibited best binding energy of − 3.13 kcal/mol and − 3.19 kcal/mol, respectively, with stable bonding patterns and their motion during NAMD simulation which confirm conserve peptide and allele stable interaction. The current study also exhibited the good docking interaction of both peptides 2LLANTTFPC10 and 98VNSVAIPLL106 with c TAP1 protein (1jj7 -PDB ID) cavity which confirm as a channel passageway to peptide transport through the cytoplasm to lumen of ER during antigen processing and presentation. Overall, this multistep screening and crosscheck structural binding analysis with an exploration of the complete proteome of CHIKV can be a novel step in the development of CHIKV epitope based vaccine as well as diagnostic development with aspect of time, cost and side effects.
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Affiliation(s)
- Priti Sharma
- D. S. Degree College, Aligarh, Dr. B. R. Ambedkar Univeristy, Agra, 282004 India
| | - Pawan Sharma
- Institute of Engineering and Technology, Mangalayatan University, Aligarh, 202145 India
| | - Sheeba Ahmad
- D. S. Degree College, Aligarh, Dr. B. R. Ambedkar Univeristy, Agra, 282004 India
| | - Ajay Kumar
- Department of Biotechnology, Faculty of Engineering and Technology, Rama University, G.T. Road, Kanpur, 209217 India
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