Lijun Quan

33 papers A 1Journal 28Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
AACDR: Integrating Graph Isomorphism Networks and Asymmetric Adversarial Domain Adaptation for Cancer Drug Response Prediction.
J. Chem. Inf. Model.
Yi Zhang, Tingfang Wu, Liangpeng Nie, Yelu Jiang, Geng Li, Jia Xu, Zhenglong Zhou, Yiwei Chen, Lijun Quan, Qiang Lyu
2025 J jnl
AffiGrapher: Contrastive Heterogeneous Graph Learning with Aromatic Virtual Nodes for RNA-Small Molecule Binding Affinity Prediction.
J. Chem. Inf. Model.
Junkai Wang, Jian Wu, Zhijun Zhang, Yelu Jiang, Liangchen Peng, Bei Zhang, Qiufeng Chen, Lexin Cao, Lijun Quan, Qiang Lyu
2025 J jnl
DS-MVP: identifying disease-specific pathogenicity of missense variants by pre-training representation.
Briefings Bioinform.
Qiufeng Chen, Lijun Quan, Lexin Cao, Bei Zhang, Zhijun Zhang, Liangchen Peng, Junkai Wang, Yelu Jiang, Liangpeng Nie, Geng Li, Tingfang Wu, Qiang Lyu
2025 J jnl
MAPCliff-WMGR: Exploring Activity Cliffs in Molecular Activity Prediction Enhanced by Weighted Molecular Graph Representations.
J. Chem. Inf. Model.
Yiwei Chen, Tingfang Wu, Yelu Jiang, Liangpeng Nie, Geng Li, Yi Zhang, Zhenglong Zhou, Jia Xu, Lijun Quan, Qiang Lyu
2025 J jnl
MMSol: Predicting Protein Solubility with an Antinoise Multimodal Deep Model.
J. Chem. Inf. Model.
Jia Xu, Tingfang Wu, Yelu Jiang, Liangpeng Nie, Geng Li, Yi Zhang, Zhenglong Zhou, Yiwei Chen, Lijun Quan, Qiang Lyu
2025 A conf
MSOFormer: Multi-scale Transformer with Orthogonal Embedding and Frequency Modeling for Multivariate Time Series Forecasting.
CIKM
Qin Shi, Chu Xu, Zongtang Hu, Dong Shen, Dapeng Sun, Lijun Quan
2025 J jnl
MVCL-DTI: Predicting Drug-Target Interactions Using a Multiview Contrastive Learning Model on a Heterogeneous Graph.
J. Chem. Inf. Model.
Bei Zhang, Lijun Quan, Zhijun Zhang, Lexin Cao, Qiufeng Chen, Liangchen Peng, Junkai Wang, Yelu Jiang, Liangpeng Nie, Geng Li, Tingfang Wu, Qiang Lyu
2025 J jnl
MetaMBP: Few-Shot Multilabel Prediction of Bioactive Peptides Based on Deep Metric Meta-Learning.
J. Chem. Inf. Model.
Zhenglong Zhou, Tingfang Wu, Yelu Jiang, Geng Li, Liangpeng Nie, Jia Xu, Yi Zhang, Yiwei Chen, Lijun Quan, Qiang Lyu
2025 — conf
QGraphTad: A Novel Quantum-Inspired Method for Conformational B-Cell Epitope Prediction.
BIBM
Buzhong Zhang, Zhaolun Yao, Yajun Xu, Lijun Quan
2024 J jnl
DCMA: faster protein backbone dihedral angle prediction using a dilated convolutional attention-based neural network.
Frontiers Bioinform.
Buzhong Zhang, Meili Zheng, Yuzhou Zhang, Lijun Quan
2024 J jnl
MultiModRLBP: A Deep Learning Approach for Multi-Modal RNA-Small Molecule Ligand Binding Sites Prediction.
IEEE J. Biomed. Health Informatics
Junkai Wang, Lijun Quan, Zhi Jin, Hongjie Wu, Xuhao Ma, Xuejiao Wang, Jingxin Xie, Deng Pan, Taoning Chen, Tingfang Wu, Qiang Lyu
2024 J jnl
RPEMHC: improved prediction of MHC-peptide binding affinity by a deep learning approach based on residue-residue pair encoding.
Bioinform.
Xuejiao Wang, Tingfang Wu, Yelu Jiang, Taoning Chen, Deng Pan, Zhi Jin, Jingxin Xie, Lijun Quan, Qiang Lyu
2024 — conf
Research on Scenario-Based Dynamic Inspection Methodology Using Expression Engine.
ITU K
Jian Wu, Jun Yao, Guohui Li, Jianhong Gu, Lijun Quan
2023 J jnl
CAPLA: improved prediction of protein-ligand binding affinity by a deep learning approach based on a cross-attention mechanism.
Bioinform.
Zhi Jin, Tingfang Wu, Taoning Chen, Deng Pan, Xuejiao Wang, Jingxin Xie, Lijun Quan, Qiang Lyu
2023 J jnl
DGCddG: Deep Graph Convolution for Predicting Protein-Protein Binding Affinity Changes Upon Mutations.
IEEE ACM Trans. Comput. Biol. Bioinform.
Yelu Jiang, Lijun Quan, Kailong Li, Yan Li, Yiting Zhou, Tingfang Wu, Qiang Lyu
2023 J jnl
DeepMPSF: A Deep Learning Network for Predicting General Protein Phosphorylation Sites Based on Multiple Protein Sequence Features.
J. Chem. Inf. Model.
Jingxin Xie, Lijun Quan, Xuejiao Wang, Hongjie Wu, Zhi Jin, Deng Pan, Taoning Chen, Tingfang Wu, Qiang Lyu
2023 J jnl
How Deepbics Quantifies Intensities of Transcription Factor-DNA Binding and Facilitates Prediction of Single Nucleotide Variant Pathogenicity With a Deep Learning Model Trained On ChIP-Seq Data Sets.
IEEE ACM Trans. Comput. Biol. Bioinform.
Lijun Quan, Xiaomin Chu, Xiaoyu Sun, Tingfang Wu, Qiang Lyu
2023 J jnl
Simultaneous Prediction of Interaction Sites on the Protein and Peptide Sides of Complexes through Multilayer Graph Convolutional Networks.
J. Chem. Inf. Model.
Kailong Li, Lijun Quan, Yelu Jiang, Hongjie Wu, Jian Wu, Yan Li, Yiting Zhou, Tingfang Wu, Qiang Lyu
2023 J jnl
TransRNAm: Identifying Twelve Types of RNA Modifications by an Interpretable Multi-Label Deep Learning Model Based on Transformer.
IEEE ACM Trans. Comput. Biol. Bioinform.
Taoning Chen, Tingfang Wu, Deng Pan, Jinxing Xie, Jin Zhi, Xuejiao Wang, Lijun Quan, Qiang Lyu
2023 J jnl
ctP
IEEE ACM Trans. Comput. Biol. Bioinform.
Kailong Li, Lijun Quan, Yelu Jiang, Yan Li, Yiting Zhou, Tingfang Wu, Qiang Lyu
2022 J jnl
Identifying modifications on DNA-bound histones with joint deep learning of multiple binding sites in DNA sequence.
Bioinform.
Yan Li, Lijun Quan, Yiting Zhou, Yelu Jiang, Kailong Li, Tingfang Wu, Qiang Lyu
2022 J jnl
Learning Useful Representations of DNA Sequences From ChIP-Seq Datasets for Exploring Transcription Factor Binding Specificities.
IEEE ACM Trans. Comput. Biol. Bioinform.
Lijun Quan, Xiaoyu Sun, Jian Wu, Jie Mei, Liqun Huang, Ruji He, Liangpeng Nie, Yu Chen, Qiang Lyu
2022 J jnl
Multisource Attention-Mechanism-Based Encoder-Decoder Model for Predicting Drug-Drug Interaction Events.
J. Chem. Inf. Model.
Deng Pan, Lijun Quan, Zhi Jin, Taoning Chen, Xuejiao Wang, Jingxin Xie, Tingfang Wu, Qiang Lyu
2022 J jnl
SemanticCAP: Chromatin Accessibility Prediction Enhanced by Features Learning from a Language Model.
CoRR
Yikang Zhang, Xiaomin Chu, Yelu Jiang, Hongjie Wu, Lijun Quan
2022 J jnl
TransPPMP: predicting pathogenicity of frameshift and non-sense mutations by a Transformer based on protein features.
Bioinform.
Liangpeng Nie, Lijun Quan, Tingfang Wu, Ruji He, Qiang Lyu
2021 J jnl
Quantifying Intensities of Transcription Factor-DNA Binding by Learning From an Ensemble of Protein Binding Microarrays.
IEEE J. Biomed. Health Informatics
Lijun Quan, Jie Mei, Ruji He, Xiaoyu Sun, Liangpeng Nie, Kailong Li, Qiang Lyu
2020 J jnl
Developing parallel ant colonies filtered by deep learned constrains for predicting RNA secondary structure with pseudo-knots.
Neurocomputing
Lijun Quan, Leixin Cai, Yu Chen, Jie Mei, Xiaoyu Sun, Qiang Lyu
2019 J jnl
Sequence-based prediction of protein-protein interaction sites by simplified long short-term memory network.
Neurocomputing
Buzhong Zhang, Jinyan Li, Lijun Quan, Yu Chen, Qiang Lü
2016 J jnl
STRUM: structure-based prediction of protein stability changes upon single-point mutation.
Bioinform.
Lijun Quan, Qiang Lv, Yang Zhang
2014 J jnl
Improved packing of protein side chains with parallel ant colonies.
BMC Bioinform.
Lijun Quan, Qiang Lü, Haiou Li, Xiaoyan Xia, Hongjie Wu
2013 — conf
A protein-peptide docking program with modeling receptor flexible areas.
BIBM
Haiou Li, Qiang Lü, Rong Chen, Lijun Quan, Xiaoyan Xia
2013 — conf
Packing protein side-chains by parallel ant colonies.
BIBM
Lijun Quan, Haiou Li, Xiaoyan Xia, Qiang Li
2013 J jnl
patGPCR: A Multitemplate Approach for Improving 3D Structure Prediction of Transmembrane Helices of G-Protein-Coupled Receptors.
Comput. Math. Methods Medicine
Hongjie Wu, Qiang Lü, Lijun Quan, Peide Qian, Xiaoyan Xia