免疫表位数据库中的抗原特异性 T 细胞受体数据和工具。

Epitope-Specific T Cell Receptor Data and Tools in the Immune Epitope Database.

机构信息

Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, CA, USA.

Department of Medicine, Division of Infectious Diseases and Global Public Health, University of California, San Diego, La Jolla, CA, USA.

出版信息

Methods Mol Biol. 2022;2574:267-280. doi: 10.1007/978-1-0716-2712-9_13.

DOI:10.1007/978-1-0716-2712-9_13

PMID:36087207

Abstract

T cells play a critical role in the response of the immune system to non-self antigens. The Immune Epitope Database (IEDB) continuously curates published T cell data, among other immune-related data, and allows users to create custom queries based on their research interests and aims. The IEDB's companion site, the IEDB Analysis Resource, features a number of tools for analysis and prediction of immune epitopes; these include TCRMatch, a new tool used to predict candidate epitopes for T cell receptors with unknown specificity. Together these resources enable users to browse and filter large amounts of published data as well as generate hypotheses to guide future experiments.

摘要

T 细胞在免疫系统对非自身抗原的反应中起着关键作用。免疫表位数据库（IEDB）不断整理发表的 T 细胞数据以及其他免疫相关数据，并允许用户根据自己的研究兴趣和目标创建自定义查询。IEDB 的配套网站，IEDB 分析资源，具有许多用于分析和预测免疫表位的工具；其中包括 TCRMatch，这是一种新工具，用于预测特异性未知的 T 细胞受体的候选表位。这些资源使研究人员能够浏览和筛选大量已发表的数据，并生成假设来指导未来的实验。