most citedIn silico generation of novel, drug-like chemical matter using the LSTM neural network

34 citations · 34 across the 1 of their papers we have counts for

collaborators

1 paper

cs.LG2018★ 34 cited

In silico generation of novel, drug-like chemical matter using the LSTM neural network

Peter Ertl, Richard Lewis, Eric Martin +1

The exploration of novel chemical spaces is one of the most important tasks of cheminformatics when supporting the drug discovery process. Properly designed and trained deep neural…