Shuwen Xiong

According to our database, Shuwen Xiong authored at least 12 papers between 2022 and 2025.

Collaborative distances:

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

2025

UMPPI: Unveiling Multilevel Protein-Peptide Interaction Prediction via Language Models.

Shuwen Xiong, Jiajie Cai, Hua Shi, Feifei Cui, Zilong Zhang, Leyi Wei

J. Chem. Inf. Model., 2025

Integrating Protein Language Models and Geometric Deep Learning for Peptide Toxicity Prediction.

Yanling Wang, Na Li, Xiao Wang, Feng Cao, Shuwen Xiong, Leyi Wei

J. Chem. Inf. Model., 2025

Deep Learning in Antimicrobial Peptide Prediction.

Changhang Lin, Shuwen Xiong, Feifei Cui, Zilong Zhang, Hua Shi, Leyi Wei

J. Chem. Inf. Model., 2025

NeuroPred-AIMP: Multimodal Deep Learning for Neuropeptide Prediction via Protein Language Modeling and Temporal Convolutional Networks.

Jinjin Li, Shuwen Xiong, Hua Shi, Feifei Cui, Zilong Zhang, Leyi Wei

J. Chem. Inf. Model., 2025

MMGCSyn: Explainable synergistic drug combination prediction based on multimodal fusion.

Yongqing Zhang, Hao Yuan, Yuhang Liu, Shuwen Xiong, Zhigan Zhou, Yugui Xu, Xinyu Mao, Meiqin Gong

Future Gener. Comput. Syst., 2025

2023

Multiple sequence alignment based on deep reinforcement learning with self-attention and positional encoding.

Yuhang Liu, Hao Yuan, Qiang Zhang, Zixuan Wang, Shuwen Xiong, Naifeng Wen, Yongqing Zhang

Bioinform., October, 2023

HAMPLE: deciphering TF-DNA binding mechanism in different cellular environments by characterizing higher-order nucleotide dependency.

Zixuan Wang, Shuwen Xiong, Yun Yu, Jiliu Zhou, Yongqing Zhang

Bioinform., May, 2023

HGTDG: An Interpretable Heterogeneous Graph Transformer Framework for Cancer Driver Gene Prediction.

Shuwen Xiong, Zixuan Wang, Junming Zhang, Guiquan Zhu, Yongqing Zhang, Quan Zou

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

KDProg: A Knowledge distillation graph neural network for cancer prognosis prediction and analysis.

Shuwen Xiong, Zixuan Wang, Junming Zhang, Hong Luo, Yongqing Zhang, Quan Zou

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

Towards a better understanding of TF-DNA binding prediction from genomic features.

Zixuan Wang, Meiqin Gong, Yuhang Liu, Shuwen Xiong, Maocheng Wang, Jiliu Zhou, Yongqing Zhang

Comput. Biol. Medicine, 2022

A novel convolution attention model for predicting transcription factor binding sites by combination of sequence and shape.

Yongqing Zhang, Zixuan Wang, Yuanqi Zeng, Yuhang Liu, Shuwen Xiong, Maocheng Wang, Jiliu Zhou, Quan Zou

Briefings Bioinform., 2022

Predicting cell type-specific effects of variants on TF-DNA binding by meta-learning.

Yongqing Zhang, Yuhang Liu, Zixuan Wang, Maocheng Wang, Shuwen Xiong, Quan Zou

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022