Analysis of training and seed bias in small molecules generated with a conditional graph-based variational autoencoder -- Insights for practical AI-driven molecule generation

Seung-gu Kang, Joseph A. Morrone, Jeffrey K. Weber +1

The application of deep learning to generative molecule design has shown early promise for accelerating lead series development. However, questions remain concerning how factors li…