生物信息学和免疫信息学支持 COVID-19 疫苗的开发。
Bioinformatics and immunoinformatics to support COVID-19 vaccine development.
机构信息
New York University School of Medicine, New York, New York, USA.
Department of Dermatology, Weill Cornell Medicine, New York, New York, USA.
出版信息
J Med Virol. 2021 Sep;93(9):5209-5211. doi: 10.1002/jmv.27017. Epub 2021 Apr 23.
Abstract
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.
摘要
截至 2021 年 2 月 17 日，严重急性呼吸综合征冠状病毒 2 已感染超过 1.09 亿人，导致 242.34 万人死亡。目前，尚无批准或一致有效的治疗方法，常规疫苗的开发和测试可能需要数年时间。生物信息学、疫苗基因组学、免疫信息学、结构生物学和分子模拟的计算方法可用于更快速和精确的疫苗设计。本文重点介绍了两种用于设计新型有效疫苗和疗法的主要免疫信息学策略：反向疫苗学和结构疫苗学。
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