Proteo-R1: Reasoning Foundation Models for De Novo Protein Design
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 introduce \textbf{Proteo-R1}, a reasoning-guid
Record details
Published: 1 May 2026
Source: arXiv
Category: Research
Topics: Safety & alignment · Biotech
Retrieved: 14 July 2026
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ethics.ai (1 May 2026), “Proteo-R1: Reasoning Foundation Models for De Novo Protein Design,” evidence record 5125, https://ethics.ai/record/5125 (originally published by arXiv).
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