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bioRxiv · 10.1101/2025.04.25.650667

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

Quast, N. P.·Deane, C. M.·Raybould, M. I. J.
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Abstract

SummaryComputational 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. Availability and implementationFreely available as a Python package at https://github.com/npqst/STCRpy. Contactdeane@stats.ox.ac.uk, raybould@stats.ox.ac.uk

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Quast, N. P., Deane, C. M., Raybould, M. I. J.. 2025-04-28. STCRpy: a software suite for T cell receptor structure parsing, interaction profiling and machine learning dataset preparation. https://doi.org/10.1101/2025.04.25.650667

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