poli.objective_repository.celecoxib_rediscovery.register#
Implements the Celecoxib rediscovery task using the TDC oracles [1].
This task is inherited from the GuacaMol benchmark [2], and consists of rediscovering Celecoxib through optimization. We recommend you cite both references when using this task.
References
- [1] Artificial intelligence foundation for therapeutic science.
Huang, K., Fu, T., Gao, W. et al. Nat Chem Biol 18, 1033-1036 (2022). https://doi.org/10.1038/s41589-022-01131-2
- [2] GuacaMol: benchmarking models for de novo molecular design.
Brown, N. et al. J Chem Inf Model 59 (2019). https://pubs.acs.org/doi/10.1021/acs.jcim.8b00839
Classes
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Celecoxib rediscovery black box implementation using the TDC oracles [1]. |
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Factory class for creating Celecoxib rediscovery problems. |