The project collects our AI-aided drug interaction research including drug-target interaction prediction, drug-drug interaction prediction, drug combinations, drug pair interaction prediction and so on.
- DSN-DDI: an accurate and generalized framework for drug–drug interaction prediction by dual-view representation learning is published by Briefings in Bioinformatics. (https://academic.oup.com/bib/advance-article-abstract/doi/10.1093/bib/bbac597/6966537)
- The source code and the pretrained models are available at DSN-DDI-for-DDI-Prediction branch and give it a star if you find it useful!
- Improved drug–target interaction prediction with intermolecular graph transformer is published on Briefings in Bioinformatics. (https://academic.oup.com/bib/article-abstract/23/5/bbac162/6581433)
- The source code and the pretrained models are available at IGT-for-Structure-Based-DTI-Prediction branch and give it a star if you find it useful!
If you find these works useful, please kindly cite following articles:
@article{li2023dsn,
title={DSN-DDI: an accurate and generalized framework for drug--drug interaction prediction by dual-view representation learning},
author={Li, Zimeng and Zhu, Shichao and Shao, Bin and Zeng, Xiangxiang and Wang, Tong and Liu, Tie-Yan},
journal={Briefings in Bioinformatics},
year={2023}
}
@article{liu2022improved,
title={Improved drug--target interaction prediction with intermolecular graph transformer},
author={Liu, Siyuan and Wang, Yusong and Deng, Yifan and He, Liang and Shao, Bin and Yin, Jian and Zheng, Nanning and Liu, Tie-Yan and Wang, Tong},
journal={Briefings in Bioinformatics},
volume={23},
number={5},
pages={bbac162},
year={2022},
publisher={Oxford University Press}
}Please contact the leading corresponding author, Dr. Tong Wang (watong@microsoft.com) for technical supports and resource asks.
This project is licensed under the terms of the MIT license. See LICENSE for additional details.