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This SMILES-model was built with version v2 of DrugEx. The dataset used to build this model was Papyrus version 05.5. This version of the model is adapted to be compatible with current DrugEx release 3.3.0.
Papyrus, reinforcement learning, multi-objective optimization, drug design, exploration strategy, deep learning, pretrained model, policy gradient
Papyrus, reinforcement learning, multi-objective optimization, drug design, exploration strategy, deep learning, pretrained model, policy gradient
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 41 | |
| downloads | 240 |

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