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Production Technologies, Regulatory Parameters, and Quality Control of Vaccine Vectors for Veterinary Use

Authors :
Raquel de M. Barbosa
Amélia M. Silva
Classius F. da Silva
Juliana C. Cardoso
Patricia Severino
Lyghia M. A. Meirelles
Arnobio A. da Silva-Junior
César Viseras
Joel Fonseca
Eliana B. Souto
Source :
Technologies, Vol 10, Iss 5, p 109 (2022)
Publication Year :
2022
Publisher :
MDPI AG, 2022.

Abstract

This paper presents a comprehensive review of the main types of vaccines approaching production technology, regulatory parameters, and the quality control of vaccines. Bioinformatic tools and computational strategies have been used in the research and development of new pharmaceutical products, reducing the time between supposed pharmaceutical product candidates (R&D steps) and final products (to be marketed). In fact, in the reverse vaccinology field, in silico studies can be very useful in identifying possible vaccine targets from databases. In addition, in some cases (subunit or RNA/ DNA vaccines), the in silico approach permits: (I) the evaluation of protein immunogenicity through the prediction of epitopes, (II) the potential adverse effects of antigens through the projection of similarity to host proteins, (III) toxicity and (IV) allergenicity, contributing to obtaining safe, effective, stable, and economical vaccines for existing and emerging infectious pathogens. Additionally, the rapid growth of emerging infectious diseases in recent years should be considered a driving force for developing and implementing new vaccines and reassessing vaccine schedules in companion animals, food animals, and wildlife disease control. Comprehensive and well-planned vaccination schedules are effective strategies to prevent and treat infectious diseases.

Details

Language :
English
ISSN :
22277080
Volume :
10
Issue :
5
Database :
Directory of Open Access Journals
Journal :
Technologies
Publication Type :
Academic Journal
Accession number :
edsdoj.593fba3fe0049d6a834ac069cdb6e68
Document Type :
article
Full Text :
https://doi.org/10.3390/technologies10050109