Graph Convolutional Network with Neural Inductive Matrix Completion for Predicting Disease-Related LncRNA Genes

Authors: Yang, Qiang, Zhang, Shuxin, Dong, Suyu, Xu, Long, Dong, Weihe, Li, Xiaokun, Sun, Pengzhong, Jiang, Feng, Zhang, Xianyu, Luo, Gongning

Source: 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) Bioinformatics and Biomedicine (BIBM), 2023 IEEE International Conference on. :3595-3601 Dec, 2023

Relation: 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

Meta learning for mutant HLA class I epitope immunogenicity prediction to accelerate cancer clinical immunotherapy.

Authors: Xu, Long¹, Yang, Qiang^1,2, Dong, Weihe³, Li, Xiaokun^1,4,5,6, Wang, Kuanquan¹, Dong, Suyu³, Zhang, Xianyu⁷, Yang, Tiansong⁸, Luo, Gongning^1,9, Liao, Xingyu¹⁰, Gao, Xin⁹, Wang, Guohua^1,3

Source: Briefings in Bioinformatics; Jan2025, Vol. 26 Issue 1, p1-13, 13p

Multi-modality attribute learning-based method for drug–protein interaction prediction based on deep neural network.

Authors: Dong, Weihe¹ (AUTHOR), Yang, Qiang^2,3 (AUTHOR), Wang, Jian¹ (AUTHOR), Xu, Long^2,3 (AUTHOR), Li, Xiaokun^2,3 (AUTHOR) lixiaokun@hlju.edu.cn, Luo, Gongning^4,5 (AUTHOR) lixiaokun@hlju.edu.cn, Gao, Xin⁴ (AUTHOR)

Source: Briefings in Bioinformatics. May2023, Vol. 24 Issue 3, p1-12. 12p.

Subject Terms: *CONVOLUTIONAL neural networks, *DRUG discovery, *DEEP learning, *TOPOLOGICAL spaces, *MOLECULAR graphs

HLAIImaster: a deep learning method with adaptive domain knowledge predicts HLA II neoepitope immunogenic responses.

Authors: Yang, Qiang¹, Xu, Long², Dong, Weihe³, Li, Xiaokun^2,4,5,6, lixiaokun@hlju.edu.cn, Wang, Kuanquan², Dong, Suyu³, lixiaokun@hlju.edu.cn, Zhang, Xianyu⁷, Yang, Tiansong⁸, Jiang, Feng¹, Zhang, Bin⁹, Luo, Gongning⁹, Gao, Xin⁹, Wang, Guohua³, lixiaokun@hlju.edu.cn

Source: Briefings in Bioinformatics; Jul2024, Vol. 25 Issue 4, p1-12, 12p

DrugMGR: a deep bioactive molecule binding method to identify compounds targeting proteins.

Authors: Li, Xiaokun^1,2,3, Yang, Qiang⁴, Xu, Long¹, Dong, Weihe⁵, Luo, Gongning⁶, Wang, Wei⁷, wangwei2019@hit.edu.cn, Dong, Suyu⁵, wangwei2019@hit.edu.cn, Wang, Kuanquan¹, Xuan, Ping⁸, Zhang, Xianyu⁹, Gao, Xin⁶, wangwei2019@hit.edu.cn

Source: Bioinformatics; Apr2024, Vol. 40 Issue 4, p1-10, 10p

SAGDTI: self-attention and graph neural network with multiple information representations for the prediction of drug–target interactions.

Authors: Li, Xiaokun, Yang, Qiang, Luo, Gongning, Xu, Long, Dong, Weihe, Wang, Wei, Dong, Suyu, Wang, Kuanquan, Xuan, Ping, Gao, Xin

Source: Bioinformatics Advances; 2023, Vol. 3 Issue 1, p1-11, 11p

Subject Terms: DRUG target, DRUG repositioning, DRUG discovery, GRAPH neural networks, SARS-CoV-2