| Issue Date | Title | Author(s) | Source | scopus | WOS | Fulltext/Archive link |
| 2019 | Applications of Deep-Learning in Exploiting Large-Scale and Heterogeneous Compound Data in Industrial Pharmaceutical Research | David, L.; Arus-Pous, J.; Karlsson, J.; Engkvist, O.; Bjerrum, E. J.; Kogej, T.; Kriegl, J. M.; Beck, B.; Hong-Ming Chen | Frontiers in Pharmacology | | | |
| 2019 | A de novo molecular generation method using latent vector based generative adversarial network | Prykhodko, O.; Johansson, S. V.; Kotsias, P. C.; Arus-Pous, J.; Bjerrum, E. J.; Engkvist, O.; Hong-Ming Chen | Journal of Cheminformatics | | | |
| 2019 | Randomized SMILES strings improve the quality of molecular generative models | Arus-Pous, J.; Johansson, S. V.; Prykhodko, O.; Bjerrum, E. J.; Tyrchan, C.; Reymond, J. L.; Hong-Ming Chen ; Engkvist, O. | Journal of Cheminformatics | | | |
| 2020 | SMILES-based deep generative scaffold decorator for de-novo drug design | Arus-Pous, J.; Patronov, A.; Bjerrum, E. J.; Tyrchan, C.; Reymond, J. L.; Hong-Ming Chen ; Engkvist, O. | Journal of Cheminformatics | | | |
