Prediction and design of T cell receptor interactions with structural models

Overview:

I will describe our efforts to model and design T cell receptor specificity using deep learning structure-prediction models.

 

Bio:

Undergraduate (Rice University) and graduate (MIT) degrees in math; biochemistry postdoc with David Baker (UW Seattle); independent position at the Fred Hutch Cancer Center since 2007, working on prediction and design of protein structures and interactions.

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3D Structural Modelling for Enhanced Peptide–MHC and TCR Specificity Predictions 

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It’s not just the models, it’s the data!