Qiang Zhang

According to our database, Qiang Zhang authored at least 12 papers between 2022 and 2024.

Collaborative distances:

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

2024

A multi-stream network for retrosynthesis prediction.

Qiang Zhang, Juan Liu, Wen Zhang, Feng Yang, Zhihui Yang, Xiaolei Zhang

Frontiers Comput. Sci., April, 2024

Planning biosynthetic pathways of target molecules based on metabolic reaction prediction and AND-OR tree search.

Xiaolei Zhang, Juan Liu, Feng Yang, Qiang Zhang, Zhihui Yang, Hayat Ali Shah

Comput. Biol. Chem., 2024

Advancing Drug-Target Interaction prediction with BERT and subsequence embedding.

Zhihui Yang, Juan Liu, Feng Yang, Xiaolei Zhang, Qiang Zhang, Xuekai Zhu, Peng Jiang

Comput. Biol. Chem., 2024

A dual-scale fused hypergraph convolution-based hyperedge prediction model for predicting missing reactions in genome-scale metabolic networks.

Weihong Huang, Feng Yang, Qiang Zhang, Juan Liu

Briefings Bioinform., 2024

Variable-Length Promoter Strength Prediction Based on Graph Convolution.

Tianqi Teng, Feng Yang, Qiang Zhang, Juan Liu

Proceedings of the Bioinformatics Research and Applications - 20th International Symposium, 2024

Subgraph-based Self-Supervised Learning Framework for Enzymatic Reaction Feasibility Prediction.

Feng Yang, Juan Liu, Qiang Zhang, Zhihui Yang, Jianghang Liu, Guangsheng Wu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

Deconvolution of spatial transcriptomics data based on multi-head dynamic GAT and optimal transport.

Yuqi Chen, Feng Yang, Peng Jiang, Yuan Wang, Qiang Zhang, Juan Liu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023

FragDPI: a novel drug-protein interaction prediction model based on fragment understanding and unified coding.

Zhihui Yang, Juan Liu, Xuekai Zhu, Feng Yang, Qiang Zhang, Hayat Ali Shah

Frontiers Comput. Sci., October, 2023

DeepRT: Predicting compounds presence in pathway modules and classifying into module classes using deep neural networks based on molecular properties.

Hayat Ali Shah, Juan Liu, Zhihui Yang, Feng Yang, Qiang Zhang, Jing Feng

J. Bioinform. Comput. Biol., August, 2023

SLPFA: Protein Structure-Label Embedding Attention Network for Protein Function Annotation.

Qiang Zhang, Juan Liu, Feng Yang, Zhihui Yang, Jing Feng

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

AMTL-RFC:A multi-task learning based method for evaluating the feasibility of enzymatic reactions.

Jianghang Liu, Juan Liu, Zhihui Yang, Feng Yang, Qiang Zhang

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

2022

CNN-based two-branch multi-scale feature extraction network for retrosynthesis prediction.

Feng Yang, Juan Liu, Qiang Zhang, Zhihui Yang, Xiaolei Zhang

BMC Bioinform., 2022