Heterogeneous network-based drug repurposing for COVID-19
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 H...
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Zusammenfassung: | 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. |
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DOI: | 10.48550/arxiv.2107.09217 |