VDDB: a comprehensive resource and machine learning platform for antiviral drug discovery

@article{Tao2022VDDBAC,
  title={VDDB: a comprehensive resource and machine learning platform for antiviral drug discovery},
  author={Shunming Tao and Yihao Chen and Jingxing Wu and Duancheng Zhao and Hanxuan Cai and Ling Wang},
  journal={ArXiv},
  year={2022},
  volume={abs/2209.13521}
}
Virus infection is one of the major diseases that seriously threaten human health. To meet the growing demand for mining and sharing data resources related to antiviral drugs and to accelerate the design and discovery of new antiviral drugs, we presented an open-access antiviral drug resource and machine learning platform (VDDB), which, to the best of our knowledge, is the first comprehensive dedicated resource for experimentally verified potential drugs/molecules based on manually curated data… 

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