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      Immunoinformatics approaches in developing a novel multi-epitope chimeric vaccine protective against Saprolegnia parasitica

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          Abstract

          Saprolegnia parasitica is responsible for devastating infections in fish and poses a tremendous threat to the global aquaculture industry. Presently, no safe and effective control measures are available, on the contrary, use of banned toxic compounds against the pathogen is affecting humans via biomagnification routes. This pioneering study aims to design an effective multi-epitope multi-target vaccine candidate against S. parasitica by targeting key proteins involved in the infection process. The proteins were analyzed and linear B-cell epitopes, MHC class I, and class II epitopes were predicted. Subsequently, highly antigenic epitopes were selected and fused to a highly immunogenic adjuvant, 50S ribosomal protein L7/L12, to design a multi-epitope chimeric vaccine construct. The structure of the vaccine was generated and validated for its stereochemical quality, physicochemical properties, antigenicity, allergenicity, and virulence traits. Molecular docking analyses demonstrated strong binding interactions between the vaccine and piscine immune receptors (TLR5, MHC I, MHC II). Molecular dynamics simulations and binding energy calculations of the complexes, further, reflected the stability and favorable interactions of the vaccine and predicted its cytosolic stability. Immune simulations predicted robust and consistent kinetics of the immune response elicited by the vaccine. The study posits the vaccine as a promising solution to combat saprolegniasis in the aquaculture industry.

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          Most cited references64

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          GROMACS: High performance molecular simulations through multi-level parallelism from laptops to supercomputers

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            GROMACS: fast, flexible, and free.

            This article describes the software suite GROMACS (Groningen MAchine for Chemical Simulation) that was developed at the University of Groningen, The Netherlands, in the early 1990s. The software, written in ANSI C, originates from a parallel hardware project, and is well suited for parallelization on processor clusters. By careful optimization of neighbor searching and of inner loop performance, GROMACS is a very fast program for molecular dynamics simulation. It does not have a force field of its own, but is compatible with GROMOS, OPLS, AMBER, and ENCAD force fields. In addition, it can handle polarizable shell models and flexible constraints. The program is versatile, as force routines can be added by the user, tabulated functions can be specified, and analyses can be easily customized. Nonequilibrium dynamics and free energy determinations are incorporated. Interfaces with popular quantum-chemical packages (MOPAC, GAMES-UK, GAUSSIAN) are provided to perform mixed MM/QM simulations. The package includes about 100 utility and analysis programs. GROMACS is in the public domain and distributed (with source code and documentation) under the GNU General Public License. It is maintained by a group of developers from the Universities of Groningen, Uppsala, and Stockholm, and the Max Planck Institute for Polymer Research in Mainz. Its Web site is http://www.gromacs.org. (c) 2005 Wiley Periodicals, Inc.
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              ProSA-web: interactive web service for the recognition of errors in three-dimensional structures of proteins

              A major problem in structural biology is the recognition of errors in experimental and theoretical models of protein structures. The ProSA program (Protein Structure Analysis) is an established tool which has a large user base and is frequently employed in the refinement and validation of experimental protein structures and in structure prediction and modeling. The analysis of protein structures is generally a difficult and cumbersome exercise. The new service presented here is a straightforward and easy to use extension of the classic ProSA program which exploits the advantages of interactive web-based applications for the display of scores and energy plots that highlight potential problems spotted in protein structures. In particular, the quality scores of a protein are displayed in the context of all known protein structures and problematic parts of a structure are shown and highlighted in a 3D molecule viewer. The service specifically addresses the needs encountered in the validation of protein structures obtained from X-ray analysis, NMR spectroscopy and theoretical calculations. ProSA-web is accessible at https://prosa.services.came.sbg.ac.at
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                Author and article information

                Contributors
                abhigyan6531@gmail.com
                resercherfent@gmail.com
                akumar.cbt.mdu@gmail.com
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                27 January 2024
                27 January 2024
                2024
                : 14
                : 2260
                Affiliations
                [1 ]Department of Animal Science, Kazi Nazrul University, ( https://ror.org/02qy8xv65) Asansol, West Bengal 713 340 India
                [2 ]Toxicology and Computational Biology Group, Centre for Bioinformatics, Maharshi Dayanand University, ( https://ror.org/03kaab451) Rohtak, 124 001 India
                [3 ]Department of Food Science, Faculty of Agricultural and Food Sciences, Laval University, ( https://ror.org/04sjchr03) Quebec City, QC 2325G1V 0A6 Canada
                [4 ]Department of Botany and Microbiology, College of Science, King Saud University, ( https://ror.org/02f81g417) P. O. Box 2455, 114 51 Riyadh, Saudi Arabia
                [5 ]Department of Biology, Bahir Dar University, ( https://ror.org/01670bg46) Po.Box 79, Bahir Dar, Ethiopia
                [6 ]Department of Chemistry and Biochemistry, Faculty of Medicine and Pharmacy, Ibn Zohr University, ( https://ror.org/006sgpv47) 700 00 Laayoune, Morocco
                [7 ]GRID grid.412148.a, ISNI 0000 0001 2180 2473, Laboratory of Chemistry-Biochemistry, Environment, Nutrition, and Health, Faculty of Medicine and Pharmacy, , University Hassan II, ; B. P. 5696 Casablanca, Morocco
                Article
                52223
                10.1038/s41598-024-52223-z
                10817918
                38278861
                4fcb34cf-1403-451b-be0c-14e428b421e9
                © The Author(s) 2024

                Open Access This 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
                : 4 October 2023
                : 16 January 2024
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                © Springer Nature Limited 2024

                Uncategorized
                biotechnology,computational biology and bioinformatics,drug discovery
                Uncategorized
                biotechnology, computational biology and bioinformatics, drug discovery

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