Riding the wave of innovation: immunoinformatics in fish disease control.
Adjuvant
Aquaculture
Computational biotechnology
Fish diseases
Immunoinformatics
In silico epitope-based vaccine design
Linker selection
Molecular docking
Molecular dynamics simulation
Vaccines
Journal
PeerJ
ISSN: 2167-8359
Titre abrégé: PeerJ
Pays: United States
ID NLM: 101603425
Informations de publication
Date de publication:
2023
2023
Historique:
received:
25
05
2023
accepted:
17
10
2023
medline:
13
12
2023
pubmed:
13
12
2023
entrez:
13
12
2023
Statut:
epublish
Résumé
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
Identifiants
pubmed: 38089909
doi: 10.7717/peerj.16419
pii: 16419
pmc: PMC10712311
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
e16419Informations de copyright
©2023 Razali et al.
Déclaration de conflit d'intérêts
The authors declare there are no competing interests.