Riding the wave of innovation: immunoinformatics in fish disease control
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 increasin...
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| Format: | Article |
| Language: | English |
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PeerJ Inc.
2023-12-01
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| Series: | PeerJ |
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| Online Access: | https://peerj.com/articles/16419.pdf |
| _version_ | 1797397660941942784 |
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| author | Siti Aisyah Razali Mohd Shahir Shamsir Nur Farahin Ishak Chen-Fei Low Wan-Atirah Azemin |
| author_facet | Siti Aisyah Razali Mohd Shahir Shamsir Nur Farahin Ishak Chen-Fei Low Wan-Atirah Azemin |
| author_sort | Siti Aisyah Razali |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-09T01:13:23Z |
| format | Article |
| id | doaj.art-1a9eaca0a25d4ee1a38e3d9d6f093760 |
| institution | Directory Open Access Journal |
| issn | 2167-8359 |
| language | English |
| last_indexed | 2024-03-09T01:13:23Z |
| publishDate | 2023-12-01 |
| publisher | PeerJ Inc. |
| record_format | Article |
| series | PeerJ |
| spelling | doaj.art-1a9eaca0a25d4ee1a38e3d9d6f0937602023-12-10T15:05:08ZengPeerJ Inc.PeerJ2167-83592023-12-0111e1641910.7717/peerj.16419Riding the wave of innovation: immunoinformatics in fish disease controlSiti Aisyah Razali0Mohd Shahir Shamsir1Nur Farahin Ishak2Chen-Fei Low3Wan-Atirah Azemin4Faculty of Science and Marine Environment, Universiti Malaysia Terengganu, Kuala Nerus, Terengganu, MalaysiaDepartment of Biosciences, Faculty of Science, Universiti Teknologi Malaysia, Skudai, Johor, MalaysiaFaculty of Science and Marine Environment, Universiti Malaysia Terengganu, Kuala Nerus, Terengganu, MalaysiaInstitute of Systems Biology (INBIOSIS), Universiti Kebangsaan Malaysia, Bangi, Selangor, MalaysiaSchool of Biological Sciences, Universiti Sains Malaysia, Minden, Pulau Pinang, MalaysiaThe 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.https://peerj.com/articles/16419.pdfImmunoinformaticsComputational biotechnologyVaccinesAquacultureFish diseasesMolecular dynamics simulation |
| spellingShingle | Siti Aisyah Razali Mohd Shahir Shamsir Nur Farahin Ishak Chen-Fei Low Wan-Atirah Azemin Riding the wave of innovation: immunoinformatics in fish disease control PeerJ Immunoinformatics Computational biotechnology Vaccines Aquaculture Fish diseases Molecular dynamics simulation |
| title | Riding the wave of innovation: immunoinformatics in fish disease control |
| title_full | Riding the wave of innovation: immunoinformatics in fish disease control |
| title_fullStr | Riding the wave of innovation: immunoinformatics in fish disease control |
| title_full_unstemmed | Riding the wave of innovation: immunoinformatics in fish disease control |
| title_short | Riding the wave of innovation: immunoinformatics in fish disease control |
| title_sort | riding the wave of innovation immunoinformatics in fish disease control |
| topic | Immunoinformatics Computational biotechnology Vaccines Aquaculture Fish diseases Molecular dynamics simulation |
| url | https://peerj.com/articles/16419.pdf |
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