TCR Motif Atlas 数据库发布，可视化病毒、肿瘤与自身免疫表位的 TCR 识别特异性
The TCR Motif Atlas: a database of specificities for TCRs recognizing viral, cancer, and autoimmune epitopes
研究团队开发了 TCR Motif Atlas 数据库，基于 TCR 特异性谱（TSP）的概率框架，可视化数百个表位特异性 TCR 相对基线 TCR 库在 V/J 基因、CDR3 长度和氨基酸上的富集情况。用户可通过交互界面用自己的 TCR 序列构建 TSP，考察表位识别特异性或 TCR 库偏好，数据库还提供表位特异性 TCR 汇编与 TCR–表位复合物晶体结构的链接。
来源：Nucleic Acids Research · doi.org
T-cell recognition is elicited by the binding between T-cell receptors (TCRs) and epitopes. Many machine learning approaches have been proposed to model TCR–epitope recognition specificity, but most of them act as black boxes. To visualize TCR–epitope recognition specificity, we developed the TCR Motif Atlas (https://tcrmotifatlas.unil.ch). This database builds upon the probabilistic framework of TCR specificity profiles (TSPs) to visualize V and J genes as well as complementarity-determining Region 3 (CDR3) lengths and amino acids enriched in epitope-specific TCRs with respect to baseline TCR repertoires for hundreds of epitopes. An interactive interface enables users to build TSPs based on their own set of TCR sequences to investigate epitope recognition specificity or to explore potential biases in TCR repertoires of known or undetermined specificity. The TCR Motif Atlas further provides links to curated compilations of epitope-specific TCRs and crystal structures of TCR–epitope complexes.