Nele P. Quast

STCRpy provides a Python package for TCR structure analysis and machine learning dataset preparation, enabling tasks like complex orientation scoring and interaction profiling.

The paper evaluates TCR structure prediction models using a large dataset, finds comparable structural diversity in alpha and beta chains, and provides over 1.5M predicted structures for further analysis.

The paper introduces the OTS database, a curated resource of paired-chain TCR sequences, and develops a language model for analyzing TCR pairings and coherence.