MATCHMAKERS: Solving TCR Recognition and Design Via Integrated High-Throughput Screening, Structural, Functional, and Computational Approaches
The MATCHMAKERS team will embark on an ambitious research program to revolutionize TCR-pMHC pair prediction. Central to their approach is the integration of sequence and structure datasets, leveraging the group’s unique experience to merge these approaches into a unified pipeline. The team will curate new sequence and structure datasets scaled for advanced machine learning algorithms, develop novel experimental methods for data acquisition, and devise computational strategies addressing the nuances of TCR-pMHC binding and structure. The international and interdisciplinary group of investigators will combine data collected from natural TCR repertoires, datasets generated through molecular engineering strategies, structural and biochemical analysis, and the latest advances in artificial intelligence-based predictions and machine learning.
