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Riding the wave of innovation: immunoinformatics in fish disease control.
Razali, Siti Aisyah; Shamsir, Mohd Shahir; Ishak, Nur Farahin; Low, Chen-Fei; Azemin, Wan-Atirah.
Afiliação
  • Razali SA; Faculty of Science and Marine Environment, Universiti Malaysia Terengganu, Kuala Nerus, Terengganu, Malaysia.
  • Shamsir MS; Biological Security and Sustainability Research Interest Group (BIOSES), Universiti Malaysia Terengganu, Kuala Nerus, Terengganu, Malaysia.
  • Ishak NF; Department of Biosciences, Faculty of Science, Universiti Teknologi Malaysia, Skudai, Johor, Malaysia.
  • Low CF; Faculty of Science and Marine Environment, Universiti Malaysia Terengganu, Kuala Nerus, Terengganu, Malaysia.
  • Azemin WA; Institute of Systems Biology (INBIOSIS), Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia.
PeerJ ; 11: e16419, 2023.
Article em En | MEDLINE | ID: mdl-38089909
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Vacinas / Doenças dos Peixes Limite: Animals Idioma: En Revista: PeerJ Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Malásia País de publicação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Vacinas / Doenças dos Peixes Limite: Animals Idioma: En Revista: PeerJ Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Malásia País de publicação: Estados Unidos