DS-ProGen combines backbone and surface encoders with a pretrained autoregressive decoder and reports 61.47% recovery on PRIDE, though baseline fairness and subset selection weaken the SOTA claim.
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DS-ProGen: A Dual-Structure Deep Language Model for Functional Protein Design
DS-ProGen combines backbone and surface encoders with a pretrained autoregressive decoder and reports 61.47% recovery on PRIDE, though baseline fairness and subset selection weaken the SOTA claim.