Emerging vaccine informatics.
Emerging vaccine informatics.
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DOI：
10.1155/2010/218590
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发表时间：
2010
影响因子：
--
通讯作者：
Chen RT
中科院分区：
文献类型：
--
作者：
He Y;Rappuoli R;De Groot AS;Chen RT
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和应用，可用于促进临床前，临床和许可后疫苗企业的各个方面。已经开发了许多免疫信息学算法和资源来预测用于表位疫苗开发和保护性免疫分析的T细胞和B细胞免疫表位。疫苗蛋白候选物可使用反向疫苗学从基因组序列通过计算机预测。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和鉴定与体内保护相关的基因应答。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疫苗接种方案。计算方法也被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的评估以及免疫建模。计算文献挖掘和数据库有效地处理、挖掘和存储大量疫苗文献和数据。疫苗本体（Vaccine Ontology，VO）是一种用于整合疫苗数据并支持自动推理的技术。
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.
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影响因子：
8
作者：
Boom, Julie A.;Dragsbaek, Anna C.;Nelson, Cynthia S.
通讯作者：
Nelson, Cynthia S.
DOI：
10.1073/pnas.061029998
发表时间：
2001-03-13
影响因子：
11.1
作者：
Blower, SM;Koelle, K;Mills, J
通讯作者：
Mills, J
影响因子：
14.9
作者：
Bagos, PG;Liakopoulos, TD;Hamodrakas, SJ
通讯作者：
Hamodrakas, SJ
影响因子：
14.9
作者：
Besemer, J;Lomsadze, A;Borodovsky, M
通讯作者：
Borodovsky, M
影响因子：
5.8
作者：
Bhasin, M;Raghava, GPS
通讯作者：
Raghava, GPS