He Yongqun, Rappuoli Rino, De Groot Anne S, Chen Robert T
Department of Microbiology and Immunology, Unit for Laboratory Animal Medicine, Center for Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, 48109, USA.
J Biomed Biotechnol. 2010;2010:218590. doi: 10.1155/2010/218590. Epub 2011 Jun 15.
Vaccine informatics is an emerging research area that focuses on development and applications of bioinformatics methods that can be used to facilitate every aspect of the preclinical, clinical, and postlicensure vaccine enterprises. Many immunoinformatics algorithms and resources have been developed to predict T- and B-cell immune epitopes for epitope vaccine development and protective immunity analysis. Vaccine protein candidates are predictable in silico from genome sequences using reverse vaccinology. Systematic transcriptomics and proteomics gene expression analyses facilitate rational vaccine design and identification of gene responses that are correlates of protection in vivo. Mathematical simulations have been used to model host-pathogen interactions and improve vaccine production and vaccination protocols. Computational methods have also been used for development of immunization registries or immunization information systems, assessment of vaccine safety and efficacy, and immunization modeling. Computational literature mining and databases effectively process, mine, and store large amounts of vaccine literature and data. Vaccine Ontology (VO) has been initiated to integrate various vaccine data and support automated reasoning.
疫苗信息学是一个新兴的研究领域,专注于生物信息学方法的开发与应用,这些方法可用于推动临床前、临床及疫苗获批后企业的各个方面。已经开发了许多免疫信息学算法和资源,用于预测T细胞和B细胞免疫表位,以进行表位疫苗开发和保护性免疫分析。使用反向疫苗学可从基因组序列在计算机上预测候选疫苗蛋白。系统的转录组学和蛋白质组学基因表达分析有助于合理的疫苗设计,并识别体内与保护相关的基因反应。数学模拟已被用于模拟宿主-病原体相互作用,并改进疫苗生产和接种方案。计算方法也已用于免疫登记或免疫信息系统的开发、疫苗安全性和有效性评估以及免疫建模。计算文献挖掘和数据库可有效地处理、挖掘和存储大量疫苗文献和数据。疫苗本体论(VO)已启动,以整合各种疫苗数据并支持自动推理。