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Prediction of Drug-Likeness Using Deep Autoencoder Neural Networks
Due to diverse reasons, most drug candidates cannot eventually become marketed drugs. Developing reliable computational methods for prediction of drug-likeness of candidate compounds is of vital importance to improve the success rate of drug discovery and development. In this study, we used a fully...
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| Publicado no: | Front Genet |
|---|---|
| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Frontiers Media S.A.
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6277570/ https://ncbi.nlm.nih.gov/pubmed/30538725 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fgene.2018.00585 |
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