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TCR3d: The T cell receptor structural repertoire database.
Bioinformatics ( IF 5.8 ) Pub Date : 2019-06-26 , DOI: 10.1093/bioinformatics/btz517
Ragul Gowthaman 1, 2, 3 , Brian G Pierce 1, 2, 3
Affiliation  

SUMMARY T cell receptors (TCRs) are critical molecules of the adaptive immune system, capable of recognizing diverse antigens, including peptides, lipids and small molecules, and represent a rapidly growing class of therapeutics. Determining the structural and mechanistic basis of TCR targeting of antigens is a major challenge, as each individual has a vast and diverse repertoire of TCRs. Despite shared general recognition modes, diversity in TCR sequence and recognition represents a challenge to predictive modeling and computational techniques being developed to predict antigen specificity and mechanistic basis of TCR targeting. To this end, we have developed the TCR3d database, a resource containing all known TCR structures, with a particular focus on antigen recognition. TCR3d provides key information on antigen binding mode, interface features, loop sequences and germline gene usage. Users can interactively view TCR complex structures, search sequences of interest against known structures and sequences, and download curated datasets of structurally characterized TCR complexes. This database is updated on a weekly basis, and can serve the community as a centralized resource for those studying T cell receptors and their recognition. AVAILABILITY AND IMPLEMENTATION The TCR3d database is available at https://tcr3d.ibbr.umd.edu/.

中文翻译:

TCR3d:T细胞受体结构库。

发明内容T细胞受体(TCR)是适应性免疫系统的关键分子,能够识别多种抗原,包括肽,脂质和小分子,并且代表了快速增长的一类疗法。确定TCR靶向抗原的结构和机理基础是一项重大挑战,因为每个人都有大量多样的TCR。尽管共有通用的识别模式,但TCR序列和识别的多样性代表了对开发预测TCR靶向抗原特异性和机理基础的预测模型和计算技术的挑战。为此,我们开发了TCR3d数据库,该数据库包含所有已知的TCR结构,特别关注抗原识别。TCR3d提供有关抗原结合模式,界面功能,环序列和种系基因的使用。用户可以交互地查看TCR复杂结构,针对已知的结构和序列搜索感兴趣的序列,并下载结构表征的TCR复杂结构的精选数据集。该数据库每周更新一次,并且可以作为研究T细胞受体及其识别者的集中资源,为社区服务。可用性和实现TCR3d数据库可从https://tcr3d.ibbr.umd.edu/获得。并且可以为研究T细胞受体及其识别的人们提供集中资源。可用性和实现TCR3d数据库可从https://tcr3d.ibbr.umd.edu/获得。并且可以为研究T细胞受体及其识别的人们提供集中资源。可用性和实现TCR3d数据库可从https://tcr3d.ibbr.umd.edu/获得。
更新日期:2020-01-13
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