AI RESEARCH
Proteo-R1: Reasoning Foundation Models for De Novo Protein Design
arXiv CS.LG
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ArXi:2605.02937v1 Announce Type: new Deep learning in \emph{de novo} protein design has achieved atomic-level fidelity. However, existing models remain largely non-deliberative: they directly synthesize molecular geometries without explicitly reasoning about which residues or interactions are functionally essential. As a result, design decisions are entangled with continuous sampling dynamics, limiting interpretability, controllability, and systematic reuse of biochemical knowledge. We