DeepDDS

Deep Learning for Drug-Drug Synergy Prediction

Model Architecture

DeepDDS extracts features for drugs with a GCN and cell features with an MLP and concatenates these features to an input vector to a multilayer fully connected network to predict binary classifications of synergy.

Feature Representation

• Cancer features:

  • Transcriptomics: L1000

• Drug features:

  • SMILES: converted to molecular graph

URLs

• Original GitHub

• IMPROVE GitHub

References

1. J. Wang, et. al. “DeepDDS: deep graph neural network with attention mechanism to predict synergistic drug combinations”, Briefings in Bioinformatics, 2022