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Author

Liangpeng Nie

Observed name: Nie, Liangpeng
Institution: Soochow University
Observed institution: Soochow University
ORCID: 0000-0003-4210-8039
Observed ORCID: 0000-0003-4210-8039
OpenAlex ID: A5073740698
LABind: identifying protein binding ligand-aware sites via learning interactions between ligand and protein
2025 · Zhijun Zhang, Lijun Quan, et al. · Nature Communications · 15
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TransPPMP: predicting pathogenicity of frameshift and non-sense mutations by a Transformer based on protein features
2022 · Liangpeng Nie, Lijun Quan, et al. · Bioinformatics · 12
Quantifying Intensities of Transcription Factor-DNA Binding by Learning From an Ensemble of Protein Binding Microarrays
2021 · Lijun Quan, Jie Mei, et al. · IEEE Journal of Biomedical and Health Informatics · 9
MVCL-DTI: Predicting Drug–Target Interactions Using a Multiview Contrastive Learning Model on a Heterogeneous Graph
2025 · Bei Zhang, Lijun Quan, et al. · Journal of Chemical Information and Modeling · 7
Prediction of pathogenic mutations in human transmembrane proteins and their associated diseases via utilizing pre-trained Bio-LLMs
2025 · Lexin Cao, Lijun Quan, et al. · Communications Biology · 5
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Learning Useful Representations of DNA Sequences From ChIP-Seq Datasets for Exploring Transcription Factor Binding Specificities
2020 · Lijun Quan, Xiaoyu Sun, et al. · IEEE Transactions on Computational Biology and Bioinformatics · 5
MAPCliff-WMGR: Exploring Activity Cliffs in Molecular Activity Prediction Enhanced by Weighted Molecular Graph Representations
2025 · Yiwei Chen, Tingfang Wu, et al. · Journal of Chemical Information and Modeling · 4
DS-MVP: identifying disease-specific pathogenicity of missense variants by pre-training representation
2025 · Qiufeng Chen, Lijun Quan, et al. · Briefings in Bioinformatics · 4
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MetaMBP: Few-Shot Multilabel Prediction of Bioactive Peptides Based on Deep Metric Meta-Learning
2025 · Zhenglong Zhou, Tingfang Wu, et al. · Journal of Chemical Information and Modeling · 3
AACDR: Integrating Graph Isomorphism Networks and Asymmetric Adversarial Domain Adaptation for Cancer Drug Response Prediction
2025 · Yi Zhang, Tingfang Wu, et al. · Journal of Chemical Information and Modeling · 2
MMSol: Predicting Protein Solubility with an Antinoise Multimodal Deep Model
2025 · Jia Xu, Tingfang Wu, et al. · Journal of Chemical Information and Modeling · 2
Integrating multi-modal biological knowledge via contrastive dual-view graph learning for phosphorylation site-disease association prediction
2026 · Xiangyu Chen, Lijun Quan, et al. · Bioinformatics
iDCF: Interpretable deconvolution of cell fractions via biologically-informed deep learning using scRNA-seq data
2026 · Hongjiang Guo, Tingfang Wu, et al. · PLoS Computational Biology
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A Structure-Aware Multimodal Framework for Drug–Target Interaction Prediction via Heterogeneous Graph Learning
2026 · Hua Qian, Deng Pan, et al. · Journal of Computational Biology
Identifying batch-integrated domains from spatial transcriptomics via graph autoencoder with contrastive learning based on cross-modality and data augmentation
2026 · Yexuan Mao, Lijun Quan, et al. · Briefings in Bioinformatics
Identifying batch-integrated domains from spatial transcriptomics via graph autoencoder with contrastive learning based on cross-modality and data augmentation
2026 · Mao, Yexuan, Quan, Lijun, et al. · Zenodo (CERN European Organization for Nuclear Research)
Works count: 16
Citation count: 67
H-index: 5
I10-index: 2
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