Yijun Li

Antifreeze peptide discovery has been limited by narrow candidate diversity and reliance on known protein scaffolds. AFPFusionLM fuses sequence and structure-aware representations to reach an AUROC of 0.937 and an AUPRC of 0.957 on an independent reference set; paired with a LoRA-adapted generative model and multi-model consensus screening, it retained 87,305 candidate protein records from UniProt, glacier metagenomes and generated sequences and revealed periodic tandem-repeat architectures across several candidate clusters. Short peptides from the resulting repeat-associated families reached or exceeded the ice recrystallization inhibition of a literature reference peptide measured in the same batch.

Antifreeze peptide discovery has been limited by narrow candidate diversity and reliance on known protein scaffolds. AFPFusionLM fuses sequence and structure-aware representations to reach an AUROC of 0.937 and an AUPRC of 0.957 on an independent reference set; paired with a LoRA-adapted generative model and multi-model consensus screening, it retained 87,305 candidate protein records from UniProt, glacier metagenomes and generated sequences and revealed periodic tandem-repeat architectures across several candidate clusters. Short peptides from the resulting repeat-associated families reached or exceeded the ice recrystallization inhibition of a literature reference peptide measured in the same batch.