2023
DOI: 10.1186/s12859-023-05275-3
|View full text |Cite
|
Sign up to set email alerts
|

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 other words, they do not take into account the invariance of the topological relationships between nodes during representation learning. It may limit the performance of the DTI prediction methods. … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
3

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
references
References 62 publications
0
0
0
Order By: Relevance