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Bridging the Evidence-to-Execution Gap:A Reflective Agent for Multi-Objective Peptide Design
Large language models (LLMs) can reason over scientific literature to devise design strategies, yet fail to reliably implement them for biological sequences. While protein generative models learn sequence patterns, they lack the capacity to incorporate literature evidence for multi-step reflective r
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