|Awarded On||February 15, 2023|
|Title||Developing knowledge guided deep learning models to predict the binding between T cell receptors and neoantigens for facilitating TCR-T therapies|
|Award Mechanism||Individual Investigator Research Awards for Computational Biology|
|Institution/Organization||The University of Texas Southwestern Medical Center|
|Principal Investigator/Program Director||Tao Wang|
|Cancer Sites||All Sites|
Background: Immunotherapy has transformed cancer care despite heterogeneity in clinical responses. T cells' recognition of tumor antigens is central to the effectiveness of cancer immunotherapies. But little remains understood about the tumor antigens that are immunogenic and the T cells that recognize them. Accordingly, studying TCR-antigen interactions is the key to understanding the biology of tumor immune responses and reinvigorating immunotherapies. However, traditional experimental investigation of the interaction between tumor antigens and T cells is labor intensive, costly, time-consuming, and presents excessively low validation rates of ~1%. Therefore, it is critical to develop mach...