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Database Profile

TRAIT

General information

URL: https://pgx.zju.edu.cn/traitdb
Full name: T-cell Receptor–Antigen Interactions Database
Description: T-cell receptor–antigen interaction database (TRAIT) is a comprehensive database that profiles the interactions between TCRs and antigens. TRAIT was developed to explicitly characterize the interactions between TCRs and antigens by integrating sequences, structures, and binding affinities. TRAIT also offers single-cell-based antigen-specific TCR repertoires and systematically demonstrates interactions between mutations of TCRs and antigens. Additionally, clinical evaluations of antigen-specific TCRs were uniquely provided. Given the recent prominence of T-cell-based immunotherapies in disease treatment, the comprehensive data on TCR–antigen interactions provided by TRAIT are anticipated to better facilitate the discovery and optimization of TCR candidates for immunotherapies.
Year founded: 2025
Last update: 2025-03-17
Version: V1.0
Accessibility:
Accessible
Country/Region: China

Contact information

University/Institution: Zhejiang University
Address: 866 Yuhangtang Road, Hangzhou 310058, China
City: Hangzhou
Province/State: Zhejiang Province
Country/Region: China
Contact name (PI/Team): Zhan Zhou
Contact email (PI/Helpdesk): zhanzhou@zju.edu.cn

Publications

40257421
TRAIT: A Comprehensive Database for T-cell Receptor-Antigen Interactions. [PMID: 40257421]
Mengmeng Wei, Jingcheng Wu, Shengzuo Bai, Yuxuan Zhou, Yichang Chen, Xue Zhang, Wenyi Zhao, Ying Chi, Gang Pan, Feng Zhu, Shuqing Chen, Zhan Zhou

Comprehensive and integrated resources on interactions between T-cell receptors (TCRs) and antigens are still lacking for adoptive T-cell-based immunotherapies, highlighting a significant gap that must be addressed to fully comprehend the mechanisms of antigen recognition by T-cells. In this study, we present the T-cell receptor-antigen interaction database (TRAIT), a comprehensive database that profiles the interactions between TCRs and antigens. TRAIT stands out due to its comprehensive description of TCR-antigen interactions by integrating sequences, structures, and affinities. It provides millions of experimentally validated TCR-antigen pairs, resulting in an exhaustive landscape of antigen-specific TCRs. Notably, TRAIT emphasizes single-cell omics as a major reliable data source for TCR-antigen interactions and includes millions of reliable non-interactive TCRs. Additionally, it thoroughly demonstrates the interactions between mutations of TCRs and antigens, thereby benefiting affinity maturation of engineered TCRs as well as vaccine design. TCRs on clinical trials were innovatively provided. With the significant efforts made towards elucidating the complex interactions between TCRs and antigens, TRAIT is expected to ultimately contribute superior algorithms and substantial advancements in the field of T-cell-based immunotherapies. TRAIT is freely accessible at https://pgx.zju.edu.cn/traitdb.

Genomics Proteomics Bioinformatics. 2025:() | 0 Citations (from Europe PMC, 2025-12-20)

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Record metadata

Created on: 2025-04-10
Curated by:
shaosen zhang [2025-06-28]
Lina Ma [2025-04-14]
Zhan Zhou [2025-04-14]
Zhan Zhou [2025-04-10]