Identification of Drug-Disease Associations Using Information of Molecular Structures and Clinical Symptoms via Deep Convolutional Neural Network

@article{Li2019IdentificationOD,
  title={Identification of Drug-Disease Associations Using Information of Molecular Structures and Clinical Symptoms via Deep Convolutional Neural Network},
  author={Zhanchao Li and Qixing Huang and Xingyu Chen and Yang Wang and Jinlong Li and Yun Xie and Zong Dai and Xiaoyong Zou},
  journal={Frontiers in Chemistry},
  year={2019},
  volume={7}
}
Identifying drug-disease associations is helpful for not only predicting new drug indications and recognizing lead compounds, but also preventing, diagnosing, treating diseases. Traditional experimental methods are time consuming, laborious and expensive. Therefore, it is urgent to develop computational method for predicting potential drug-disease associations on a large scale. Herein, a novel method was proposed to identify drug-disease associations based on the deep learning technique… 

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