Fleri Ward, Paul Sinu, Dhanda Sandeep Kumar, Mahajan Swapnil, Xu Xiaojun, Peters Bjoern, Sette Alessandro
Division of Vaccine Discovery, La Jolla Institute for Allergy and Immunology , La Jolla, CA , USA.
Front Immunol. 2017 Mar 14;8:278. doi: 10.3389/fimmu.2017.00278. eCollection 2017.
The task of epitope discovery and vaccine design is increasingly reliant on bioinformatics analytic tools and access to depositories of curated data relevant to immune reactions and specific pathogens. The Immune Epitope Database and Analysis Resource (IEDB) was indeed created to assist biomedical researchers in the development of new vaccines, diagnostics, and therapeutics. The Analysis Resource is freely available to all researchers and provides access to a variety of epitope analysis and prediction tools. The tools include validated and benchmarked methods to predict MHC class I and class II binding. The predictions from these tools can be combined with tools predicting antigen processing, TCR recognition, and B cell epitope prediction. In addition, the resource contains a variety of secondary analysis tools that allow the researcher to calculate epitope conservation, population coverage, and other relevant analytic variables. The researcher involved in vaccine design and epitope discovery will also be interested in accessing experimental published data, relevant to the specific indication of interest. The database component of the IEDB contains a vast amount of experimentally derived epitope data that can be queried through a flexible user interface. The IEDB is linked to other pathogen-specific and immunological database resources.
表位发现和疫苗设计任务越来越依赖于生物信息学分析工具以及获取与免疫反应和特定病原体相关的经过整理的数据存储库。免疫表位数据库与分析资源（IEDB）的创建确实是为了协助生物医学研究人员开发新疫苗、诊断方法和治疗手段。分析资源对所有研究人员免费开放，并提供各种表位分析和预测工具。这些工具包括经过验证和基准测试的预测MHC I类和II类结合的方法。这些工具的预测结果可以与预测抗原加工、TCR识别和B细胞表位预测的工具相结合。此外，该资源还包含各种二级分析工具，使研究人员能够计算表位保守性、人群覆盖率和其他相关分析变量。参与疫苗设计和表位发现的研究人员也会对获取与感兴趣的特定适应症相关的实验性已发表数据感兴趣。IEDB的数据库组件包含大量通过实验得出的表位数据，可通过灵活的用户界面进行查询。IEDB与其他病原体特异性和免疫学数据库资源相链接。
