Deep learning seq2seq generator of molecular descriptors with given binding energy.
- Compounds are generated in SMILES format
- Neural network architecture is semi-supervised LSTM-autoencoder
- Additional neuron in latent space for binding free energy input
Was used to generate compounds that block the binding of the GP120 protein to the CD4 receptor and prevent the penetration of HIV into the human body.