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DEEPScreen: high performance drug–target interaction prediction with convolutional neural networks using 2-D structural compound representations
The identification of physical interactions between drug candidate compounds and target biomolecules is an important process in drug discovery. Since conventional screening procedures are expensive and time consuming, computational approaches are employed to provide aid by automatically predicting n...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Royal Society of Chemistry
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7643205/ https://www.ncbi.nlm.nih.gov/pubmed/33209251 http://dx.doi.org/10.1039/c9sc03414e |