Autoencoder-based drug–target interaction prediction by preserving the consistency of chemical properties and functions of drugs
Abstract Motivation Exploring the potential drug–target interactions (DTIs) is a key step in drug discovery and repurposing. In recent years, predicting the probable DTIs through computational methods has gradually become a research hot spot. However, most of the previous studies failed to judicious...
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Veröffentlicht in: | Bioinformatics (Oxford, England) England), 2021-10, Vol.37 (20), p.3618-3625 |
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Sprache: | eng |
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