La Jolla Institute for Allergy & Immunology, 9420 Athena Circle, La Jolla, CA 92037, USA.
J Immunol Methods. 2011 Nov 30;374(1-2):62-9. doi: 10.1016/j.jim.2010.10.010. Epub 2010 Oct 31.
The Immune Epitope Database and Analysis Resource (IEDB, http://www.iedb.org) hosts a continuously growing set of immune epitope data curated from the literature, as well as data submitted directly by experimental scientists. In addition, the IEDB hosts a collection of prediction tools for both MHC class I and II restricted T-cell epitopes that are regularly updated. In this review, we provide an overview of T-cell epitope data and prediction tools provided by the IEDB. We then illustrate effective use of these resources to support experimental studies. We focus on two applications, namely identification of conserved epitopes in novel strains of a previously studied pathogen, and prediction of novel T-cell epitopes to facilitate vaccine design. We address common questions and concerns faced by users, and identify patterns of usage that have proven successful.
免疫表位数据库和分析资源(IEDB,http://www.iedb.org) 提供了一组不断增长的免疫表位数据,这些数据来自文献综述以及实验科学家直接提交的数据。此外,IEDB 还提供了一套针对 MHC Ⅰ类和Ⅱ类受限 T 细胞表位的预测工具,这些工具会定期更新。在这篇综述中,我们概述了 IEDB 提供的 T 细胞表位数据和预测工具。然后,我们举例说明了如何有效地利用这些资源来支持实验研究。我们重点介绍了两个应用,即鉴定先前研究的病原体新菌株中的保守表位,以及预测新的 T 细胞表位以促进疫苗设计。我们解决了用户面临的常见问题和关注点,并确定了已被证明成功的使用模式。