Медицина и инновацииМ Сабиров, О Скосырева +12021
REVOLUTIONIZING FRESHWATER FISH HEALTH: NOVEL IN-SILICO APPROACHES FOR BACTERIAL DISEASE REMEDIATION
Angkasa Kusuma (Department of Informatics Engineering, Universities Ma Chung, Indonesia) · Supardi Wijaya (Department of Agriculture Engineering, Universities Ma Chung, Indonesia)
The American Journal of Agriculture and Biomedical Engineering · 05 · 139-151 · 2020
Аннотация
This study delves into a groundbreaking approach for enhancing the health of freshwater fishes through the application of novel in-silico methods for bacterial disease remediation. Bacterial infections pose significant threats to aquatic ecosystems and aquaculture industries. Leveraging computational techniques, the study explores the identification of potential therapeutic targets, drug candidates, and vaccine antigens against bacterial pathogens affecting freshwater fishes. The utilization of in-silico approaches offers speed, cost-efficiency, and predictive power in developing strategies for disease management. The findings highlight the potential of computational tools to revolutionize fish health management and promote sustainable aquaculture practices. KEYWORDS Freshwater fishes, bacterial diseases, in-silico approaches, computational methods, therapeutic targets, drug candidates, vaccine antigens, disease management, aquaculture, sustainable practices.
Доказательный фрагмент
«This study delves into a groundbreaking approach for enhancing the health of freshwater fishes through the application of novel in-silico methods for bacterial disease remediation.»
Образец извлечения
Демо-превьюThis study delves into a groundbreaking approach for enhancing the health of freshwater fishes through the application of novel in-silico methods for bacterial disease remediation. Полный текст публикации CiteX не хранит — доступ к первоисточнику открывается по DOI согласно лицензии издателя и выбранному плану.
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- 0
- Тип
- Журнал
- Страна
- Узбекистан
- Ключевые слова
- Freshwater fishes, bacterial diseases, in-silico approaches, computational methods, therapeutic targets, drug, hadiths, Holy Quran, older generation
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