A novel method for drug-target interaction prediction based on graph transformers model.

ABSTRACT:

Background

Drug-target interactions (DTIs) prediction becomes more and more important for accelerating drug research and drug repositioning. Drug-target interaction network is a typical model for DTIs prediction. As many different types of relationships exist between drug and target, drug-target interaction network can be used for modeling drug-target interaction relationship. Recent works on drug-target interaction network are mostly concentrate on drug node or target node and neglecting the relationships between drug-target.

Results

We propose a novel prediction method for modeling the relationship between drug and target independently. Firstly, we use different level relationships of drugs and targets to construct feature of drug-target interaction. Then, we use line grap

SUBMITTER: Wang H 

PROVIDER: S-EPMC9635108 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature