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DIVE redefines node selection in CBS, achieving dive efficiency and early incumbents while slashing memory usage compared to conventional methods.
TCR-SRIM reveals that relying on predicted structures can obscure critical interaction patterns, challenging the efficacy of popular structure prediction models in TCR-epitope learning.
