Lijun Quan

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 18

Top Topics

Top Venues

IEEE ACM Trans. Comput. Biol. Bioinform.

J. Chem. Inf. Model.

IEEE J. Biomed. Health Informatics

Publications

Xuejiao Wang, Tingfang Wu, Yelu Jiang, Taoning Chen, Deng Pan, Zhi Jin, Jingxin Xie, Lijun Quan, Qiang Lyu
RPEMHC: improved prediction of MHC-peptide binding affinity by a deep learning approach based on residue-residue pair encoding. Bioinform. 40 (1) (2024)
Junkai Wang, Lijun Quan, Zhi Jin, Hongjie Wu, Xuhao Ma, Xuejiao Wang, Jingxin Xie, Deng Pan, Taoning Chen, Tingfang Wu, Qiang Lyu
MultiModRLBP: A Deep Learning Approach for Multi-Modal RNA-Small Molecule Ligand Binding Sites Prediction. IEEE J. Biomed. Health Informatics 28 (8) (2024)
Kailong Li, Lijun Quan, Yelu Jiang, Hongjie Wu, Jian Wu, Yan Li, Yiting Zhou, Tingfang Wu, Qiang Lyu
Simultaneous Prediction of Interaction Sites on the Protein and Peptide Sides of Complexes through Multilayer Graph Convolutional Networks. J. Chem. Inf. Model. 63 (7) (2023)
Lijun Quan, Xiaomin Chu, Xiaoyu Sun, Tingfang Wu, Qiang Lyu
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. 20 (2) (2023)
Yelu Jiang, Lijun Quan, Kailong Li, Yan Li, Yiting Zhou, Tingfang Wu, Qiang Lyu
DGCddG: Deep Graph Convolution for Predicting Protein-Protein Binding Affinity Changes Upon Mutations. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (3) (2023)
Taoning Chen, Tingfang Wu, Deng Pan, Jinxing Xie, Jin Zhi, Xuejiao Wang, Lijun Quan, Qiang Lyu
TransRNAm: Identifying Twelve Types of RNA Modifications by an Interpretable Multi-Label Deep Learning Model Based on Transformer. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (6) (2023)
Zhi Jin, Tingfang Wu, Taoning Chen, Deng Pan, Xuejiao Wang, Jingxin Xie, Lijun Quan, Qiang Lyu
CAPLA: improved prediction of protein-ligand binding affinity by a deep learning approach based on a cross-attention mechanism. Bioinform. 39 (2) (2023)
Kailong Li, Lijun Quan, Yelu Jiang, Yan Li, Yiting Zhou, Tingfang Wu, Qiang Lyu
ISP: Protein-Protein Interaction Sites Prediction Using Convolution and Transformer With Data Augmentation. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (1) (2023)
Jingxin Xie, Lijun Quan, Xuejiao Wang, Hongjie Wu, Zhi Jin, Deng Pan, Taoning Chen, Tingfang Wu, Qiang Lyu
DeepMPSF: A Deep Learning Network for Predicting General Protein Phosphorylation Sites Based on Multiple Protein Sequence Features. J. Chem. Inf. Model. 63 (22) (2023)
Deng Pan, Lijun Quan, Zhi Jin, Taoning Chen, Xuejiao Wang, Jingxin Xie, Tingfang Wu, Qiang Lyu
Multisource Attention-Mechanism-Based Encoder-Decoder Model for Predicting Drug-Drug Interaction Events. J. Chem. Inf. Model. 62 (23) (2022)
Yikang Zhang, Xiaomin Chu, Yelu Jiang, Hongjie Wu, Lijun Quan
SemanticCAP: Chromatin Accessibility Prediction Enhanced by Features Learning from a Language Model. CoRR (2022)
Liangpeng Nie, Lijun Quan, Tingfang Wu, Ruji He, Qiang Lyu
TransPPMP: predicting pathogenicity of frameshift and non-sense mutations by a Transformer based on protein features. Bioinform. 38 (10) (2022)
Lijun Quan, Xiaoyu Sun, Jian Wu, Jie Mei, Liqun Huang, Ruji He, Liangpeng Nie, Yu Chen, Qiang Lyu
Learning Useful Representations of DNA Sequences From ChIP-Seq Datasets for Exploring Transcription Factor Binding Specificities. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (2) (2022)
Yan Li, Lijun Quan, Yiting Zhou, Yelu Jiang, Kailong Li, Tingfang Wu, Qiang Lyu
Identifying modifications on DNA-bound histones with joint deep learning of multiple binding sites in DNA sequence. Bioinform. 38 (17) (2022)
Lijun Quan, Jie Mei, Ruji He, Xiaoyu Sun, Liangpeng Nie, Kailong Li, Qiang Lyu
Quantifying Intensities of Transcription Factor-DNA Binding by Learning From an Ensemble of Protein Binding Microarrays. IEEE J. Biomed. Health Informatics 25 (7) (2021)
Lijun Quan, Leixin Cai, Yu Chen, Jie Mei, Xiaoyu Sun, Qiang Lyu
Developing parallel ant colonies filtered by deep learned constrains for predicting RNA secondary structure with pseudo-knots. Neurocomputing 384 (2020)
Buzhong Zhang, Jinyan Li, Lijun Quan, Yu Chen, Qiang Lü
Sequence-based prediction of protein-protein interaction sites by simplified long short-term memory network. Neurocomputing 357 (2019)
Lijun Quan, Qiang Lv, Yang Zhang
STRUM: structure-based prediction of protein stability changes upon single-point mutation. Bioinform. 32 (19) (2016)
Lijun Quan, Qiang Lü, Haiou Li, Xiaoyan Xia, Hongjie Wu
Improved packing of protein side chains with parallel ant colonies. BMC Bioinform. 15 (S-12) (2014)
Hongjie Wu, Qiang Lü, Lijun Quan, Peide Qian, Xiaoyan Xia
patGPCR: A Multitemplate Approach for Improving 3D Structure Prediction of Transmembrane Helices of G-Protein-Coupled Receptors. Comput. Math. Methods Medicine 2013 (2013)
Haiou Li, Qiang Lu, Rong Chen, Lijun Quan, Xiaoyan Xia
A protein-peptide docking program with modeling receptor flexible areas. BIBM (2013)
Lijun Quan, Haiou Li, Xiaoyan Xia, Qiang Li
Packing protein side-chains by parallel ant colonies. BIBM (2013)