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VAE-Molecular-Generation

  • Ref paper: Automatic chemical design using a data-driven continuous representation of molecules - 2018
  • Epoch vs. Train loss
  • Note 1: Generated SMILES from this model is tested with RDkit library to know whether or not it is a valid SMILES.
    I observed that the percentage of valid generated SMILES from this model is very low (<0.5%)
    A good generated SMILES for dug discovery is more important than the percentage of valid generated SMILES,
    but the model itself cannot guarantee that the valid generated SMILES is a good candidate.
    It indicated the limitation of the model for using in production.
  • Note 2: In the next repository, the VAE model combined with Reinforcement Learning will be implemented and
    hopefully, it can generate SMILES better than this model.

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Molecular generative model based on Variational AutoEncoder (VAE)

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