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Xiao-Qin Wang

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Sep 2026

LGBind: A structure-guided deep learning framework for accurate prediction of protein-ligand binding sites.

LGBind is introduced, a structure-guided deep learning framework for generalized, ligand-conditioned binding site identification and demonstrates profound robustness and generalization in predicting novel ligand-target interactions, and demonstrates remarkable versatility.

Yun-Feng Li, Xing-Yu Liu, Yi-Jia Liu et al. · 0 citations
Aug 2026

CABA-Bind: Confounder-aligned backdoor adjustment for debiased RNA-ligand binding prediction.

CABA-Bind improves the reliability and ligand-specific interpretability of RNA-ligand molecular recognition modeling, and provided computational evidence suggesting that model-highlighted RNA regions around G17 and A53/A54 may contribute to ligand-associated recognition.

Xiaoqin Wang, Xingyu Liu, Zhiwei Zhang et al. · 0 citations

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