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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6277570/ https://www.ncbi.nlm.nih.gov/pubmed/30538725 http://dx.doi.org/10.3389/fgene.2018.00585 |