Drug-target interaction prediction based on spatial consistency constraint and graph convolutional autoencoder
Abstract Background Drug-target interaction (DTI) prediction plays an important role in drug discovery and repositioning. However, most of the computational methods used for identifying relevant DTIs do not consider the invariance of the nearest neighbour relationships between drugs or targets. In o...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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BMC
2023-04-01
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| Series: | BMC Bioinformatics |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12859-023-05275-3 |