Bridging the Evidence-to-Execution Gap:A Reflective Agent for Multi-Objective Peptide Design.

arXiv:2610.06190v1 Announce Type: new Abstract: 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 pattern