Riding the wave of innovation: immunoinformatics in fish disease control
- PMID: 38089909
- PMCID: PMC10712311
- DOI: 10.7717/peerj.16419
Riding the wave of innovation: immunoinformatics in fish disease control
Abstract
The spread of infectious illnesses has been a significant factor restricting aquaculture production. To maximise aquatic animal health, vaccination tactics are very successful and cost-efficient for protecting fish and aquaculture animals against many disease pathogens. However, due to the increasing number of immunological cases and their complexity, it is impossible to manage, analyse, visualise, and interpret such data without the assistance of advanced computational techniques. Hence, the use of immunoinformatics tools is crucial, as they not only facilitate the management of massive amounts of data but also greatly contribute to the creation of fresh hypotheses regarding immune responses. In recent years, advances in biotechnology and immunoinformatics have opened up new research avenues for generating novel vaccines and enhancing existing vaccinations against outbreaks of infectious illnesses, thereby reducing aquaculture losses. This review focuses on understanding in silico epitope-based vaccine design, the creation of multi-epitope vaccines, the molecular interaction of immunogenic vaccines, and the application of immunoinformatics in fish disease based on the frequency of their application and reliable results. It is believed that it can bridge the gap between experimental and computational approaches and reduce the need for experimental research, so that only wet laboratory testing integrated with in silico techniques may yield highly promising results and be useful for the development of vaccines for fish.
Keywords: Adjuvant; Aquaculture; Computational biotechnology; Fish diseases; Immunoinformatics; In silico epitope-based vaccine design; Linker selection; Molecular docking; Molecular dynamics simulation; Vaccines.
©2023 Razali et al.
Conflict of interest statement
The authors declare there are no competing interests.
Figures
![Figure 1](https://cdn.statically.io/img/www.ncbi.nlm.nih.gov/pmc/articles/instance/10712311/bin/peerj-11-16419-g001.gif)
![Figure 2](https://cdn.statically.io/img/www.ncbi.nlm.nih.gov/pmc/articles/instance/10712311/bin/peerj-11-16419-g002.gif)
![Figure 3](https://cdn.statically.io/img/www.ncbi.nlm.nih.gov/pmc/articles/instance/10712311/bin/peerj-11-16419-g003.gif)
![Figure 4](https://cdn.statically.io/img/www.ncbi.nlm.nih.gov/pmc/articles/instance/10712311/bin/peerj-11-16419-g004.gif)
![Figure 5](https://cdn.statically.io/img/www.ncbi.nlm.nih.gov/pmc/articles/instance/10712311/bin/peerj-11-16419-g005.gif)
![Figure 6](https://cdn.statically.io/img/www.ncbi.nlm.nih.gov/pmc/articles/instance/10712311/bin/peerj-11-16419-g006.gif)
Similar articles
-
Immunoinformatics design of a novel epitope-based vaccine candidate against dengue virus.Sci Rep. 2021 Oct 5;11(1):19707. doi: 10.1038/s41598-021-99227-7. Sci Rep. 2021. PMID: 34611250 Free PMC article.
-
New Immunoinformatics Tools for Swine: Designing Epitope-Driven Vaccines, Predicting Vaccine Efficacy, and Making Vaccines on Demand.Front Immunol. 2020 Oct 5;11:563362. doi: 10.3389/fimmu.2020.563362. eCollection 2020. Front Immunol. 2020. PMID: 33123135 Free PMC article. Review.
-
Design of multi-epitope based vaccine against Mycobacterium tuberculosis: a subtractive proteomics and reverse vaccinology based immunoinformatics approach.J Biomol Struct Dyn. 2023;41(23):14116-14134. doi: 10.1080/07391102.2023.2178511. Epub 2023 Feb 12. J Biomol Struct Dyn. 2023. PMID: 36775659
-
Immunoinformatics: In Silico Approaches and Computational Design of a Multi-epitope, Immunogenic Protein.Int Rev Immunol. 2019;38(6):307-322. doi: 10.1080/08830185.2019.1657426. Epub 2019 Sep 3. Int Rev Immunol. 2019. PMID: 31478759
-
Better Epitope Discovery, Precision Immune Engineering, and Accelerated Vaccine Design Using Immunoinformatics Tools.Front Immunol. 2020 Apr 7;11:442. doi: 10.3389/fimmu.2020.00442. eCollection 2020. Front Immunol. 2020. PMID: 32318055 Free PMC article. Review.
Cited by
-
Development of multi epitope subunit vaccines against emerging carp viruses Cyprinid herpesvirus 1 and 3 using immunoinformatics approach.Sci Rep. 2024 May 23;14(1):11783. doi: 10.1038/s41598-024-61074-7. Sci Rep. 2024. PMID: 38782944 Free PMC article.
-
The Stability and Efficency of CPB Cells Were Acclimated for Virus Proliferation.Vaccines (Basel). 2024 Feb 20;12(3):220. doi: 10.3390/vaccines12030220. Vaccines (Basel). 2024. PMID: 38543854 Free PMC article.
References
-
- Abd El-Tawab A, El-Hofy F, EL-Gamal R, Awad S, El-Mougy E, Mohamed S. Phenotypic and genotypic characterization of antibiotic resistant strains of Flavobacterium columnare isolated from Oreochromis niloticus (Nile tilapia) Benha Veterinary Medical Journal. 2020;38:141–145. doi: 10.21608/bvmj.2020.25826.1188. - DOI
-
- Abdelrahman HA, Hemstreet WG, Roy LA, Hanson TR, Beck BH, Kelly AM. Epidemiology and economic impact of disease-related losses on commercial catfish farms: a seven-year case study from Alabama, USA. Aquaculture. 2023;566:739206. doi: 10.1016/J.AQUACULTURE.2022.739206. - DOI
-
- Abinaya RV, Viswanathan P. Chapter 2 - Biotechnology-based therapeutics. In: Hasija Y, editor. Translational biotechnology. Cambridge: Academic Press; 2021. pp. 27–52. - DOI
Publication types
MeSH terms
Substances
Grants and funding
LinkOut - more resources
Full Text Sources
Medical
Miscellaneous