Summary The ability of a T cell to recognize foreign peptides is defined by a single α and a single β hypervariable complementarity determining region (CDR3), which together form the T-cell receptor (TCR) heterodimer. In ∼30–35% of T cells, two α chains are expressed at the mRNA level but only one α chain is part of the functional TCR. This effect can also be observed for β chains, although it is less common. The identification of functional α/β chain pairs is instrumental in high-throughput characterization of therapeutic TCRs. TCRpair is the first method that predicts whether an α and β chain pair forms a functional, HLA-A*02:01 specific TCR without requiring the sequence of a recognized peptide. By taking additional amino acids flanking the CDR3 regions into account, TCRpair achieves an AUC of 0.71. Availability and implementation TCRpair is implemented in Python using TensorFlow 2.0 and is freely available at https://www.github.com/amoesch/TCRpair. Supplementary information Supplementary data are available at Bioinformatics online.

中文翻译：

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TCRpair：预测 HLA-A*02:01 限制性 T 细胞受体 α 和 β 链之间的功能配对

总结 T 细胞识别外来肽的能力由单个 α 和单个 β 高变互补决定区 (CDR3) 定义，它们共同形成 T 细胞受体 (TCR) 异二聚体。在大约 30-35% 的 T 细胞中，两条 α 链在 mRNA 水平上表达，但只有一条 α 链是功能性 TCR 的一部分。对于 β 链也可以观察到这种效果，尽管这种情况不太常见。功能性 α/β 链对的鉴定有助于治疗性 TCR 的高通量表征。TCRpair 是第一种无需识别肽序列即可预测 α 和 β 链对是否形成功能性 HLA-A*02:01 特异性 TCR 的方法。通过将 CDR3 区域侧翼的额外氨基酸考虑在内，TCRpair 实现了 0.71 的 AUC。可用性和实施​​ TCRpair 使用 TensorFlow 2.0 在 Python 中实施，可在 https://www.github.com/amoesch/TCRpair 免费获得。补充信息 补充数据可在 Bioinformatics 在线获取。