Lijun Quan

According to our database, Lijun Quan authored at least 22 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MultiModRLBP: A Deep Learning Approach for Multi-Modal RNA-Small Molecule Ligand Binding Sites Prediction.

Junkai Wang, Lijun Quan, Zhi Jin, Hongjie Wu, Xuhao Ma, Xuejiao Wang, Jingxin Xie, Deng Pan, Taoning Chen, Tingfang Wu, Qiang Lyu

IEEE J. Biomed. Health Informatics, August, 2024

RPEMHC: improved prediction of MHC-peptide binding affinity by a deep learning approach based on residue-residue pair encoding.

Xuejiao Wang, Tingfang Wu, Yelu Jiang, Taoning Chen, Deng Pan, Zhi Jin, Jingxin Xie, Lijun Quan, Qiang Lyu

Bioinform., January, 2024

2023

DeepMPSF: A Deep Learning Network for Predicting General Protein Phosphorylation Sites Based on Multiple Protein Sequence Features.

Jingxin Xie, Lijun Quan, Xuejiao Wang, Hongjie Wu, Zhi Jin, Deng Pan, Taoning Chen, Tingfang Wu, Qiang Lyu

J. Chem. Inf. Model., November, 2023

Simultaneous Prediction of Interaction Sites on the Protein and Peptide Sides of Complexes through Multilayer Graph Convolutional Networks.

Kailong Li, Lijun Quan, Yelu Jiang, Hongjie Wu, Jian Wu, Yan Li, Yiting Zhou, Tingfang Wu, Qiang Lyu

J. Chem. Inf. Model., April, 2023

CAPLA: improved prediction of protein-ligand binding affinity by a deep learning approach based on a cross-attention mechanism.

Zhi Jin, Tingfang Wu, Taoning Chen, Deng Pan, Xuejiao Wang, Jingxin Xie, Lijun Quan, Qiang Lyu

Bioinform., February, 2023

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.

Lijun Quan, Xiaomin Chu, Xiaoyu Sun, Tingfang Wu, Qiang Lyu

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

ctP²ISP: Protein-Protein Interaction Sites Prediction Using Convolution and Transformer With Data Augmentation.

Kailong Li, Lijun Quan, Yelu Jiang, Yan Li, Yiting Zhou, Tingfang Wu, Qiang Lyu

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

DGCddG: Deep Graph Convolution for Predicting Protein-Protein Binding Affinity Changes Upon Mutations.

Yelu Jiang, Lijun Quan, Kailong Li, Yan Li, Yiting Zhou, Tingfang Wu, Qiang Lyu

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

TransRNAm: Identifying Twelve Types of RNA Modifications by an Interpretable Multi-Label Deep Learning Model Based on Transformer.

Taoning Chen, Tingfang Wu, Deng Pan, Jinxing Xie, Jin Zhi, Xuejiao Wang, Lijun Quan, Qiang Lyu

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

2022

Learning Useful Representations of DNA Sequences From ChIP-Seq Datasets for Exploring Transcription Factor Binding Specificities.

Lijun Quan, Xiaoyu Sun, Jian Wu, Jie Mei, Liqun Huang, Ruji He, Liangpeng Nie, Yu Chen, Qiang Lyu

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Multisource Attention-Mechanism-Based Encoder-Decoder Model for Predicting Drug-Drug Interaction Events.

Deng Pan, Lijun Quan, Zhi Jin, Taoning Chen, Xuejiao Wang, Jingxin Xie, Tingfang Wu, Qiang Lyu

J. Chem. Inf. Model., 2022

SemanticCAP: Chromatin Accessibility Prediction Enhanced by Features Learning from a Language Model.

Yikang Zhang, Xiaomin Chu, Yelu Jiang, Hongjie Wu, Lijun Quan

CoRR, 2022

TransPPMP: predicting pathogenicity of frameshift and non-sense mutations by a Transformer based on protein features.

Liangpeng Nie, Lijun Quan, Tingfang Wu, Ruji He, Qiang Lyu

Bioinform., 2022

Identifying modifications on DNA-bound histones with joint deep learning of multiple binding sites in DNA sequence.

Yan Li, Lijun Quan, Yiting Zhou, Yelu Jiang, Kailong Li, Tingfang Wu, Qiang Lyu

Bioinform., 2022

2021

Quantifying Intensities of Transcription Factor-DNA Binding by Learning From an Ensemble of Protein Binding Microarrays.

Lijun Quan, Jie Mei, Ruji He, Xiaoyu Sun, Liangpeng Nie, Kailong Li, Qiang Lyu

IEEE J. Biomed. Health Informatics, 2021

2020

Developing parallel ant colonies filtered by deep learned constrains for predicting RNA secondary structure with pseudo-knots.

Lijun Quan, Leixin Cai, Yu Chen, Jie Mei, Xiaoyu Sun, Qiang Lyu

Neurocomputing, 2020

2019

Sequence-based prediction of protein-protein interaction sites by simplified long short-term memory network.

Buzhong Zhang, Jinyan Li, Lijun Quan, Yu Chen, Qiang Lü

Neurocomputing, 2019

2016

STRUM: structure-based prediction of protein stability changes upon single-point mutation.

Lijun Quan, Qiang Lv, Yang Zhang

Bioinform., 2016

2014

Improved packing of protein side chains with parallel ant colonies.

Lijun Quan, Qiang Lü, Haiou Li, Xiaoyan Xia, Hongjie Wu

BMC Bioinform., 2014

2013

patGPCR: A Multitemplate Approach for Improving 3D Structure Prediction of Transmembrane Helices of G-Protein-Coupled Receptors.

Hongjie Wu, Qiang Lü, Lijun Quan, Peide Qian, Xiaoyan Xia

Comput. Math. Methods Medicine, 2013

Packing protein side-chains by parallel ant colonies.

Lijun Quan, Haiou Li, Xiaoyan Xia, Qiang Li

Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

A protein-peptide docking program with modeling receptor flexible areas.

Haiou Li, Qiang Lu, Rong Chen, Lijun Quan, Xiaoyan Xia

Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013