公開日期 | 標題 | 作者 | 來源出版物 | WOS | 全文 |
2009 | ProSAR: A New Methodology for Combinatorial Library Design | Hong-Ming Chen ; Borjesson, U.; Engkvist, O.; Kogej, T.; Svensson, M. A.; Blomherg, N.; Weigelt, D.; Burrows, J. N.; Lange, T. | Journal of Chemical Information and Modeling | | |
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 | | |
2018 | The rise of deep learning in drug discovery | Hong-Ming Chen ; Engkvist, O.; Wang, Y. H.; Olivecrona, M.; Blaschke, T. | Drug Discovery Today | | |
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 | | |