4.7 Editorial Material

Bioinformatics and immunoinformatics to support COVID-19 vaccine development

期刊

JOURNAL OF MEDICAL VIROLOGY
卷 93, 期 9, 页码 5209-5211

出版社

WILEY
DOI: 10.1002/jmv.27017

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bioinformatics; computational biology; COVID-19; immunoinformatics; reverse vaccinology; SARS-CoV-2; structural vaccinology; vaccine; vaccinogenomics

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The rapid spread of SARS-CoV-2 has resulted in a high number of infections and deaths, highlighting the urgent need for more rapid and precise vaccine design using computational methods.
Severe acute respiratory syndrome coronavirus 2 has infected over 109 000 000 people with 2 423 443 deaths as of February 17, 2021. Currently, there are no approved or consistently effective treatments, and conventional vaccines may take several years for development and testing. In silico methods of bioinformatics, vaccinogenomics, immunoinformatics, structural biology, and molecular simulations can be used for more rapid and precise vaccine design. This paper highlights two major immunoinformatics strategies that are used in designing novel and effective vaccines and therapeutics: reverse vaccinology and structural vaccinology.

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