Faster and more diverse de novo molecular optimization with double-loop reinforcement learning using augmented SMILES.
Saved in:
| Title: | Faster and more diverse de novo molecular optimization with double-loop reinforcement learning using augmented SMILES. |
|---|---|
| Authors: | Bjerrum, Esben Jannik1, esben@odysseytx.com, Margreitter, Christian1, Blaschke, Thomas1, Kolarova, Simona1, de Castro, Raquel López-Ríos1,2 |
| Source: | Journal of Computer-Aided Molecular Design; Aug2023, Vol. 37 Issue 8, p373-394, 22p |
| Database: | Applied Science & Technology Source |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 0920654X |
|---|---|
| DOI: | 10.1007/s10822-023-00512-6 |