Corpus ID: 238634240

An In-depth Summary of Recent Artificial Intelligence Applications in Drug Design

@article{Zhang2021AnIS,
  title={An In-depth Summary of Recent Artificial Intelligence Applications in Drug Design},
  author={Yi Zhang},
  journal={ArXiv},
  year={2021},
  volume={abs/2110.05478}
}
  • Yi Zhang
  • Published 10 October 2021
  • Computer Science, Biology
  • ArXiv
As a promising tool to navigate in the vast chemical space, artificial intelligence (AI) is leveraged for drug design. From the year 2017 to 2021, the number of applications of several recent AI models (i.e. graph neural network (GNN), recurrent neural network (RNN), variation autoencoder (VAE), generative adversarial network (GAN), flow and reinforcement learning (RL)) in drug design increases significantly. Many relevant literature reviews exist. However, none of them provides an in-depth… 

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