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The paper presents CrossAbSense, a framework utilizing property-specific neural oracles for antibody design, achieving significant improvements in developability predictions over established baselines. It identifies that aggregation-related properties are best predicted using self-attention, while expression yield and thermal stability require bidirectional cross-attention, challenging initial biological assumptions. The framework

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j38994727

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EN