STCRpy: a software suite for T cell receptor structure parsing, interaction profiling and machine learning dataset preparation

Computational methods to guide early-stage TCR drug discovery and TCR repertoire informatics currently under-utilise solved and predicted structure data. Here, we streamline use of these data through an open-source python package for high-throughput TCR structure handling and analysis (STCRpy), facilitating analyses such as TCR:peptide- MHC complex orientation calculation/scoring, root-mean-square-distance evaluation, interaction profiling, and machine learning dataset curation. Code freely available as a Python package at https://github.com/npqst/STCRpy.

Recommended citation: Quast et.al. (2025). "STCRpy: a software suite for T cell receptor structure parsing, interaction profiling and machine learning dataset preparation." BioRxiv. 1(1).
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