Predicting TCR-pMHC recognition remains limited mainly by the quality of the structures on which predictions are built: current folding methods recover these complexes unevenly, with error concentrated in the CDR loops and docking geometry that determine specificity. The goal is to assemble a high-quality dataset combining synthetic and crystal structures to enable improved structure prediction for TCR-pMHC complexes. This model then serves as the basis for predicting binding and specificity, addressing a long-standing challenge in the field.
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Job Type
Part-time
Career Level
Entry Level
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