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Advanced Science (Weinheim, Baden-Wurttemberg, Germany)|July 12, 2024
MuToN Quantifies Binding Affinity Changes upon Protein Mutations by Geometric Deep LearningPengpai Li, Zhi-Ping Liu
Nucleic Acids Research|April 18, 2023
GeoBind: segmentation of nucleic acid binding interface on protein surface with geometric deep learningPengpai Li, Zhi-Ping Liu
Methods in Molecular Biology (Clifton, N.J.)|December 20, 2024
Structure-Based Prediction of lncRNA-Protein Interactions by Deep LearningPengpai Li, Zhi-Ping Liu
Bioinformatics (Oxford, England)|February 12, 2022
PST-PRNA: prediction of RNA-binding sites using protein surface topography and deep learningPengpai Li, Zhi-Ping Liu
Cell Reports Methods|April 21, 2026
A protein surface-aware multimodal framework for residue-level metal-binding site recognitionBowen Shao, Pengpai Li, Zhi-Ping Liu
IEEE Transactions on Computational Biology and Bioinformatics|August 14, 2025
PGDTA: Predicting Drug-Target Affinity Using Three-Dimensional Structure of Protein Pocket and Graph Neural NetworkYunhai Li, Pengpai Li, Duanchen Sun, et al.
Current Medicinal Chemistry|February 27, 2024
Drug-target Affinity Prediction by Molecule Secondary Structure Representation NetworkYuewei Tang, Yunhai Li, Pengpai Li, et al.
BMC Biology|May 9, 2025
Negative sampling strategies impact the prediction of scale-free biomolecular network interactions with machine learningPengpai Li, Bowen Shao, Guoqing Zhao, et al.
Frontiers in Genetics|February 21, 2022
Predicting lncRNA-Protein Interactions by Heterogenous Network EmbeddingGuoqing Zhao, Pengpai Li, Xu Qiao, et al.
Nucleic Acids Research|August 13, 2025
RegNetwork 2025: an integrative data repository for gene regulatory networks in human and mouseBowen Li, Chuanyuan Wang, Yijuan Wang, et al.
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