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Pengpai Li

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Open access Oct 2026

PNBind: Prediction of Nucleic Acid-Binding Sites Using Protein Structure and Protein Language Models.

Accurate prediction of nucleic acid-binding sites is essential for understanding protein function and facilitating drug discovery. However, current computational methods are limited by single-layer language model representations, Cα point clouds that discard local-frame geometry, and feature fusion in which high-dimens...

Yun-Hai Li, Guang-Hong Dang, Bo-Wen Shao et al. · 0 citations
Open access Sep 2026

DyProL: Dynamic Ensemble Representation Learning for Protein–Nucleic Acid Binding Site Prediction

ABSTRACT Protein–nucleic acid interactions play central roles in gene regulation and cellular function, and extensive efforts have been devoted to predicting nucleic acid binding sites from protein structures. However, protein–nucleic acid recognition is inherently dynamic, whereas most existing computational approache...

Peng-Pai Li, Yi-Man Liu, Li-Ya Liang et al. · 0 citations

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