Role of artificial intelligence in peptide vaccine design against RNA viruses

Mohanty, Eileena; Mohanty, Anima

doi:10.1016/j.imu.2021.100768

Cited by 18 publications

(8 citation statements)

References 117 publications

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“…Machine learning (ML) can prove to be a valuable tool for the automatization and the optimization of computational models and their predictive capabilities. Ultimately, this can facilitate the rapid development of highly specialized vaccines, with increased efficacy in the future of aquaculture [169]. These developments are predicted to significantly influence typical vaccine manufacturing processes, heralding a new era for aquatic disease management, among others.…”

Section: Reverse Vaccinologymentioning

confidence: 99%

Transforming Aquaculture Through Vaccination: A Review on Recent Developments and Milestones

Tammas,

Bitchava,

Gelasakis

2024

Preprint

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Aquaculture has rapidly emerged as one of the fastest growing industries, expanding both on global and on national fronts. With the ever-increasing demand for high biological value protein, the aquaculture industry has established itself as one of the most efficient forms of animal production, proving to be a vital component of global food production, by supplying nearly 50% of the planet’s seafood. As in classic animal production, the prevention of diseases constitutes an enduring challenge associated with severe economic and environmental repercussions. Nevertheless, remarkable strides in the development of aquaculture vaccines have been recently witnessed, offering sustainable solutions to persistent health-related issues challenging resilient aquaculture production. These advancements are characterized by breakthroughs in increased species-specific precision, improved vaccine delivery systems, and innovations in vaccine development, following the recent advent of nanotechnology, biotechnology, and artificial intelligence in the -omics era. The objective of this paper was to assess recent developments and milestones revolving around aquaculture vaccinology and provide an updated overview of strengths, weaknesses, opportunities, and threats of the sector, by incorporating and comparatively discussing various diffuse advances that span across a wide range of topics, including emerging vaccine technologies, innovative delivery methods, insights on novel adjuvants, and parasite vaccine development for the aquaculture sector.

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Section: Reverse Vaccinologymentioning

confidence: 99%

Transforming Aquaculture Through Vaccination: A Review on Recent Developments and Milestones

Tammas,

Bitchava,

Gelasakis

2024

Preprint

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“…It also contains a substantial combinatorial challenge of finding an optimal function in a sea of interactions and activities. We can hope to keep learning from extant (and extinct) life to identify new elements of RNA control, and employ approaches based on artificial intelligence to devise new RNA modules and their applications ( Lv et al, 2021 ; Mohanty and Mohanty, 2021 ). Thankfully and as exemplified in this Research Topic, we cannot stop to continuously discover new, sometimes unexpected, nuances of the RNA-based processes.…”

Section: Perspectives For Rna As a Molecular Machine Of Designmentioning

confidence: 99%

Editorial: RNA machines

Shirokikh,

Jensen,

Thakor

2023

Front. Genet.

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“…Mohanty E. et al review the present scenario of peptide vaccines which are developed using mathematical and computational statistics methods to prevent the spread of disease caused by RNA viruses. We also focus on the importance and current stage of AI and mathematical evolutionary modeling using machine learning tools in the establishment of these new peptide vaccines for the control of viral disease [ 39 ].…”

Section: Literature Reviewmentioning

confidence: 99%

Innovative Ecosystem Model of Vaccine Lifecycle Management

Ilin

Levina

Frolov

2022

Journal of Open Innovation: Technology, Market, and Complexity

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The COVID-19 pandemic has severely tested humanity, revealing the need to develop and improve the medical, economic, managerial, and IT components of vaccine management systems. The vaccine lifecycle includes vaccine research and development, production, distribution, and vaccination of the population. To manage this cycle effectively the proper organizational and IT support model of the interaction of vaccine lifecycle management stakeholders is needed—which are an innovation ecosystem and an appropriate virtual platform. A literature review has revealed the lack of methodological basis for the vaccine innovation ecosystem and virtual platform. This article is devoted to the development of a complex approach for the development of an innovation ecosystem based on vaccine lifecycle management and a virtual platform which provides the data exchange environment and IT support for the ecosystem stakeholders. The methodological foundation of the solution, developed in the article, is an enterprise architecture approach, CALS technologies, supply chain management and an open innovation philosophy. The results, presented in the article, are supposed to be a reference set of models for the creation of a vaccine innovation ecosystem, both during pandemics and periods of stable viral load.

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Role of artificial intelligence in peptide vaccine design against RNA viruses

Cited by 18 publications

References 117 publications

Transforming Aquaculture Through Vaccination: A Review on Recent Developments and Milestones

Transforming Aquaculture Through Vaccination: A Review on Recent Developments and Milestones

Editorial: RNA machines

Innovative Ecosystem Model of Vaccine Lifecycle Management

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