Defang Ouyang

According to our database, Defang Ouyang authored at least 12 papers between 2018 and 2026.

Collaborative distances:

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

2026

pepADMET: A Novel Computational Platform For Systematic ADMET Evaluation of Peptides.

Xiaorong Tan, Qianhui Liu, Mengting Zhou, Yanpeng Fang, Defang Ouyang, Wenbin Zeng, Jie Dong

J. Chem. Inf. Model., 2026

2025

Unveiling the impact of interferon genes on the immune microenvironment of triple-negative breast cancer: identification of therapeutic targets.

Ying Liu, Jiayi Cai, Aamir Fahira, Kai Zhuang, Jiaojiao Wang, Zhi Zhang, Lin Yan, Yong Liu, Defang Ouyang, Zunnan Huang

Frontiers Bioinform., 2025

2024

Introducing enzymatic cleavage features and transfer learning realizes accurate peptide half-life prediction across species and organs.

Xiaorong Tan, Qianhui Liu, Yanpeng Fang, Sen Yang, Fei Chen, Jianmin Wang, Defang Ouyang, Jie Dong, Wenbin Zeng

Briefings Bioinform., July, 2024

FormulationAI: a novel web-based platform for drug formulation design driven by artificial intelligence.

Jie Dong, Zheng Wu, Huanle Xu, Defang Ouyang

Briefings Bioinform., January, 2024

2021

Prediction of small-molecule compound solubility in organic solvents by machine learning algorithms.

Zhuyifan Ye, Defang Ouyang

J. Cheminformatics, 2021

2020

The gap analysis between Chinese pharmaceutical academia and industry from 2000 to 2018.

Hao Zhong, Defang Ouyang

Scientometrics, 2020

2018

HAMdb: a database of human autophagy modulators with specific pathway and disease information.

Ning-Ning Wang, Jie Dong, Lin Zhang, Defang Ouyang, Yan Cheng, Alex F. Chen, Ai-Ping Lu, Dong-Sheng Cao

J. Cheminformatics, 2018

ADMETlab: a platform for systematic ADMET evaluation based on a comprehensively collected ADMET database.

Jie Dong, Ning-Ning Wang, Zhi-Jiang Yao, Lin Zhang, Yan Cheng, Defang Ouyang, Ai-Ping Lu, Dong-Sheng Cao

J. Cheminformatics, 2018

An Integrated Transfer Learning and Multitask Learning Approach for Pharmacokinetic Parameter Prediction.

Zhuyifan Ye, Yilong Yang, Xiaoshan Li, Dong-Sheng Cao, Defang Ouyang

CoRR, 2018

Deep learning for in vitro prediction of pharmaceutical formulations.

Yilong Yang, Zhuyifan Ye, Yan Su, Qianqian Zhao, Xiaoshan Li, Defang Ouyang

CoRR, 2018

MicroShare: Privacy-Preserved Medical Resource Sharing through MicroService Architecture.

Yilong Yang, Quan Zu, Peng Liu, Defang Ouyang, Xiaoshan Li

CoRR, 2018

Predicting Oral Disintegrating Tablet Formulations by Neural Network Techniques.

Run Han, Yilong Yang, Xiaoshan Li, Defang Ouyang

CoRR, 2018