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Solving the RNA design problem with reinforcement learning
We use reinforcement learning to train an agent for computational RNA design: given a target secondary structure, design a sequence that folds to that structure in silico. Our agent uses a novel graph convolutional architecture allowing a single model to be applied to arbitrary target structures of...
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| Pubblicato in: | PLoS Comput Biol |
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| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Public Library of Science
2018
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6029810/ https://ncbi.nlm.nih.gov/pubmed/29927936 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1006176 |
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