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Diversity oriented Deep Reinforcement Learning for targeted molecule generation
In this work, we explore the potential of deep learning to streamline the process of identifying new potential drugs through the computational generation of molecules with interesting biological properties. Two deep neural networks compose our targeted generation framework: the Generator, which is t...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer International Publishing
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7944916/ https://www.ncbi.nlm.nih.gov/pubmed/33750461 http://dx.doi.org/10.1186/s13321-021-00498-z |