Computational tools for modern vaccine development

Autor:	Sunita, Andaleeb Sajid, Yogendra Singh, Pratyoosh Shukla
Jazyk:	angličtina
Rok vydání:	2020
Předmět:	vaccine reverse vaccinology rational design antibodyomics tools epitope prediction multi-graft scaffolding Immunologic diseases. Allergy RC581-607 Therapeutics. Pharmacology RM1-950
Zdroj:	Human Vaccines & Immunotherapeutics, Vol 16, Iss 3, Pp 723-735 (2020)
Druh dokumentu:	article
ISSN:	2164-5515 2164-554X 21645515
DOI:	10.1080/21645515.2019.1670035
Popis:	Vaccines play an essential role in controlling the rates of fatality and morbidity. Vaccines not only arrest the beginning of different diseases but also assign a gateway for its elimination and reduce toxicity. This review gives an overview of the possible uses of computational tools for vaccine design. Moreover, we have described the initiatives of utilizing the diverse computational resources by exploring the immunological databases for developing epitope-based vaccines, peptide-based drugs, and other resources of immunotherapeutics. Finally, the applications of multi-graft and multivalent scaffolding, codon optimization and antibodyomics tools in identifying and designing in silico vaccine candidates are described.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/839e64972e3545859f2f23124aac23fa Zobrazit plný text záznamu View record in DOAJ