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Let me highlight the four key innovations that make our BlockRAGFold-CYP system revolutionary. First, our structure-aware RAG architecture is the first system to integrate AlphaFold structures with textual data, using dual embeddings - 384 dimensions for text and 256 dimensions for geometric representations. Second, our biology-aware chunking segments proteins based on functional regions rather than arbitrary text splitting, generating 180 meaningful chunks that contribute 31.3% to overall performance. Third, our cross-enzyme attention mechanism captures enzyme-specific patterns and enables knowledge transfer between CYP isoforms, allowing the system to learn from similarities and differences across enzyme families. Fourth, we provide quantitative structural analysis with direct atomic-level measurements including binding pocket dimensions, key residue distances, and druggability scoring for medicinal chemistry applications. This revolutionary approach makes BlockRAGFold-CYP the first system to seamlessly integrate 3D structural biology with retrieval-augmented generation for drug metabolism prediction. |
IEEE/ICACT20260263 Slide.10
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