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Hong-Xun Yao

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LoRA-N-Gly: Sequence-based Prediction of N-Linked Glycosylation Sites by Tuning Protein Language Models with Low-rank Adaptation.

LoRA-N-Gly, a lightweight and efficient end-to-end approach that leverages Low-Rank Adaptation (LoRA) to fine-tune the ESM2-3B protein language model for direct, residue-level prediction of N-linked glycosylation sites, achieves the best performance among the methods compared on predicting N-linked glycosylation sites.

Zhi-Yong Feng, Xing Zhang, He Wang et al. · 0 citations

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