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Found 3 papers, 1 papers with code
Generative artificial intelligence for de novo protein design
Engineering new molecules with desirable functions and properties has the potential to extend our ability to engineer proteins beyond what nature has so far evolved.
The prospects of quantum computing in computational molecular biology
Quantum computers can in principle solve certain problems exponentially more quickly than their classical counterparts.
Objective-Reinforced Generative Adversarial Networks (ORGAN) for Sequence Generation Models
In unsupervised data generation tasks, besides the generation of a sample based on previous observations, one would often like to give hints to the model in order to bias the generation towards desirable metrics.
Ranked #1 on
Molecular Graph Generation
on ZINC
(QED Top-3 metric)
