Jing Wu

According to our database, Jing Wu authored at least 8 papers between 2021 and 2025.

Collaborative distances:

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

2025

Modeling enzyme temperature stability from sequence segment perspective.

Ziqi Zhang, Shiheng Chen, Runze Yang, Zhisheng Wei, Wei Zhang, Lei Wang, Zhanzhi Liu, Fengshan Zhang, Jing Wu, Xiaoyong Pan, Hongbin Shen, Longbing Cao, Zhaohong Deng

CoRR, July, 2025

Advancing Enzyme Optimal pH Prediction via Retrieved Embedding Data Augmentation.

Ziqi Zhang, Zhisheng Wei, Zhengqiang Qin, Lei Wang, Jinsong Gong, Jinsong Shi, Jing Wu, Zhaohong Deng

J. Chem. Inf. Model., 2025

EMOCPD: Efficient Attention-Based Models for Computational Protein Design Using Amino Acid Microenvironment.

Xiaoqi Ling, Cheng Cai, Demin Kong, Zhisheng Wei, Jing Wu, Lei Wang, Zhaohong Deng

J. Chem. Inf. Model., 2025

2023

Conformational Switch of the 250s Loop Enables the Efficient Transglycosylation in GH Family 77.

Zhiyong Guo, Lei Wang, Deming Rao, Weiqiong Liu, Miaomiao Xue, Qisheng Fu, Mengwei Lu, Lingqia Su, Sheng Chen, Binju Wang, Jing Wu

J. Chem. Inf. Model., October, 2023

MMSMAPlus: a multi-view multi-scale multi-attention embedding model for protein function prediction.

Zhongyu Wang, Zhaohong Deng, Wei Zhang, Qiongdan Lou, Kup-Sze Choi, Zhisheng Wei, Lei Wang, Jing Wu

Briefings Bioinform., July, 2023

2022

MDGF-MCEC: a multi-view dual attention embedding model with cooperative ensemble learning for CircRNA-disease association prediction.

Qunzhuo Wu, Zhaohong Deng, Xiaoyong Pan, Hong-Bin Shen, Kup-Sze Choi, Shitong Wang, Jing Wu, Dong-Jun Yu

Briefings Bioinform., 2022

circRNA-binding protein site prediction based on multi-view deep learning, subspace learning and multi-view classifier.

Hui Li, Zhaohong Deng, Haitao Yang, Xiaoyong Pan, Zhisheng Wei, Hong-Bin Shen, Kup-Sze Choi, Lei Wang, Shitong Wang, Jing Wu

Briefings Bioinform., 2022

2021

RNA-binding protein recognition based on multi-view deep feature and multi-label learning.

Haitao Yang, Zhaohong Deng, Xiaoyong Pan, Hong-Bin Shen, Kup-Sze Choi, Lei Wang, Shitong Wang, Jing Wu

Briefings Bioinform., 2021