40 citations · 40 across the 1 of their papers we have counts for
2 papers
cs.LG2019★ 40 cited
All SMILES Variational Autoencoder
Zaccary Alperstein, Artem Cherkasov, Jason Tyler Rolfe
Variational autoencoders (VAEs) defined over SMILES string and graph-based representations of molecules promise to improve the optimization of molecular properties, thereby revolut…
cs.LG2018
PADME: A Deep Learning-based Framework for Drug-Target Interaction Prediction
Qingyuan Feng, Evgenia Dueva, Artem Cherkasov +1
In silico drug-target interaction (DTI) prediction is an important and challenging problem in biomedical research with a huge potential benefit to the pharmaceutical industry and p…