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      Construction and validation of a multi-epitope in silico vaccine model for lymphatic filariasis by targeting Brugia malayi: a reverse vaccinology approach

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          Abstract

          Background

          Lymphatic filariasis (LF), often referred to as elephantiasis, has been identified as one of the 17 neglected tropical diseases by the World Health Organization. Currently, there are no vaccines available to treat this infection in humans. Therefore, with the objective of devising a novel preventive measure, we exploited an immunoinformatics approach to design a multi-epitope-based subunit vaccine for LF, that can elicit a variety of immune responses within the host. In this study, different B cell, T C cell, and T H cell-binding epitopes were screened from the antigenic proteins of Brugia malayi and they were passed through several immunological filters to determine the optimal epitopes.

          Results

          As a result, 15 CD8+, 3 CD4+, and 3 B cell epitopes were found to be prominent, antigenic, non-toxic, immunogenic and non-allergenic. The presence of conformational B cell epitopes and cytokine-inducing epitopes confirmed the humoral and cell-mediated immune response that would be triggered by the constructed vaccine model. Following that, the selected epitopes and TLR-4-specific adjuvant were ligated by appropriate peptide linkers to finalize the vaccine construct. Protein–protein docking of the vaccine structure with the TLR4 receptor predicted strong binding affinity and hence putatively confirms its ability to elicit an immune response. Further, the efficiency of the vaccine candidate to provide a long-lasting protective immunity was assessed by in silico immune simulation. The reverse translated vaccine sequence was also virtually cloned in the pET28a (+) plasmid after the optimization of the gene sequence.

          Conclusion

          So taken together, by monitoring the overall in silico assessment, we hypothesize that our engineered peptide vaccine could be a viable prophylactic approach in the development of vaccines against the threat of human lymphatic filariasis.

          Graphical Abstract

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s42269-023-01013-0.

          Highlights

          • A novel computational approach was adopted for the development of a vaccine model against lymphatic filariasis.

          • The potential epitopes were screened to test their antigenicity, toxicity, immunogenicity, and allergenicity.

          • The prophylactic vaccine model was constructed with appropriate peptide linkers and the adjuvant—50 s ribosomal protein L7/L12.

          • The tertiary structure of the vaccine model was validated with Ramachandran plot, ProSA, etc.

          • Molecular docking against TLR4 receptor and immune simulation studies were performed to test the efficacy of the vaccine.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s42269-023-01013-0.

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          Most cited references44

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          UniProt: a worldwide hub of protein knowledge

          (2018)
          Abstract The UniProt Knowledgebase is a collection of sequences and annotations for over 120 million proteins across all branches of life. Detailed annotations extracted from the literature by expert curators have been collected for over half a million of these proteins. These annotations are supplemented by annotations provided by rule based automated systems, and those imported from other resources. In this article we describe significant updates that we have made over the last 2 years to the resource. We have greatly expanded the number of Reference Proteomes that we provide and in particular we have focussed on improving the number of viral Reference Proteomes. The UniProt website has been augmented with new data visualizations for the subcellular localization of proteins as well as their structure and interactions. UniProt resources are available under a CC-BY (4.0) license via the web at https://www.uniprot.org/.
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            The ClusPro web server for protein–protein docking

            ClusPro is a web server that performs rigid-body docking of two proteins by sampling billions of conformations. Low-energy docked structures are clustered, and centers of the largest clusters are used as likely models of the complex.
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              The PSIPRED Protein Analysis Workbench: 20 years on

              Abstract The PSIPRED Workbench is a web server offering a range of predictive methods to the bioscience community for 20 years. Here, we present the work we have completed to update the PSIPRED Protein Analysis Workbench and make it ready for the next 20 years. The main focus of our recent website upgrade work has been the acceleration of analyses in the face of increasing protein sequence database size. We additionally discuss any new software, the new hardware infrastructure, our webservices and web site. Lastly we survey updates to some of the key predictive algorithms available through our website.
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                Author and article information

                Contributors
                satyacbt@gmail.com
                princeprp@gmail.com
                Journal
                Bull Natl Res Cent
                Bull Natl Res Cent
                Bulletin of the National Research Centre
                Springer Berlin Heidelberg (Berlin/Heidelberg )
                1110-0591
                2522-8307
                24 March 2023
                24 March 2023
                2023
                : 47
                : 1
                : 47
                Affiliations
                [1 ]GRID grid.252262.3, ISNI 0000 0001 0613 6919, Department of Biotechnology, , Anna University, ; Chennai, India
                [2 ]GRID grid.9026.d, ISNI 0000 0001 2287 2617, The Hamburg Centre for Ultrafast Imaging (CUI), , University of Hamburg, ; Hamburg, Germany
                [3 ]GRID grid.9026.d, ISNI 0000 0001 2287 2617, Institute for Biochemistry and Molecular Biology, , Laboratory for Structural Biology of Infection and Infammation, University of Hamburg, c/o DESY, ; 22603, Hamburg, Germany
                Author information
                http://orcid.org/0000-0002-8312-0563
                Article
                1013
                10.1186/s42269-023-01013-0
                10037386
                36987521
                cc2888a2-32dc-429f-b502-d7ee4b760fcb
                © The Author(s) 2023

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 2 February 2023
                : 27 February 2023
                Categories
                Research
                Custom metadata
                © The Author(s) 2023

                immunoinformatics,lymphatic filariasis,brugia malayi,molecular docking,multi-epitope peptide-based vaccine,reverse vaccinology

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