The Corona Virus Disease 2019 (COVID-19) belongs to human coronaviruses (HCoVs), which spreads rapidly around the world. Compared with new drug development, drug repurposing may be the best shortcut for treating COVID-19. Therefore, we constructed a comprehensive heterogeneous network based on the HCoVs-related target proteins and use the previously proposed deepDTnet, to discover potential drug candidates for COVID-19. We obtain high performance in predicting the possible drugs effective for COVID-19 related proteins. In summary, this work utilizes a powerful heterogeneous network-based deep learning method, which may be beneficial to quickly identify candidate repurposable drugs toward future clinical trials for COVID-19. The code and data are available at https://github.com/stjin-XMU/HnDR-COVID.
@article{arxiv.2107.09217,
title = {Heterogeneous network-based drug repurposing for COVID-19},
author = {Shuting Jin and Xiangxiang Zeng and Wei Huang and Feng Xia and Changzhi Jiang and Xiangrong Liu and Shaoliang Peng},
journal= {arXiv preprint arXiv:2107.09217},
year = {2021}
}