生物信息学
穗蛋白
计算生物学
计算机科学
2019年冠状病毒病(COVID-19)
医学
生物
传染病(医学专业)
疾病
遗传学
基因
病理
作者
Sakshi Piplani,David A. Winkler,Yoshikazu Honda‐Okubo,Varun Khanna,Nikolai Petrovsky
出处
期刊:Methods in molecular biology
日期:2023-01-01
卷期号:: 371-399
标识
DOI:10.1007/978-1-0716-3239-0_26
摘要
Structure-based vaccine design (SBVD) is an important technique in computational vaccine design that uses structural information on a targeted protein to design novel vaccine candidates. This increasing ability to rapidly model structural information on proteins and antibodies has provided the scientific community with many new vaccine targets and novel opportunities for future vaccine discovery. This chapter provides a comprehensive overview of the status of in silico SBVD and discusses the current challenges and limitations. Key strategies in the field of SBVD are exemplified by a case study on design of COVID-19 vaccines targeting SARS-CoV-2 spike protein.
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