AgentPLM: Agentic Protein Language Models with Reasoning-Augmented Decoding for Protein Sequence Design 事件

AgentPLM: Agentic Protein Language Models with Reasoning-Augmented Decoding for Protein Sequence Design arXiv:2606.02386v1 Announce Type: new Abstract: Protein language models (PLMs) are passive oracles: they generate sequences in a single forward pass with no mechanism to consult external biophysical feedback or redirect generation when a candidate violates thermodynamic or structural constraints. We introduce AgentPLM, which addresses this by equipping a pre-trained PLM with i) Reasoning-Augm