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This analysis shows how our system performs across different query types, revealing where the structural information provides the most value. Our system significantly outperforms text-only methods on binding site analysis with a score of 0.892 versus 0.634, structural comparison queries with 0.823 versus 0.601, substrate recognition with 0.856 versus 0.645, and functional region queries with 0.801 versus 0.598. The cross-enzyme performance matrix demonstrates strong performance for enzyme-specific queries - 0.89 for CYP3A4, 0.87 for CYP2D6, and 0.85 for CYP2C19. Cross-enzyme transfer achieves scores between 0.41 and 0.46, showing successful knowledge sharing between isoforms. The key insight here is that our system excels at structure-related queries that are impossible for text-only methods to handle accurately. |
IEEE/ICACT20260263 Slide.12
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