Drug repurposing and prediction of multiple interaction types via graph embedding.

ABSTRACT:

Background

Finding drugs that can interact with a specific target to induce a desired therapeutic outcome is key deliverable in drug discovery for targeted treatment. Therefore, both identifying new drug-target links, as well as delineating the type of drug interaction, are important in drug repurposing studies.

Results

A computational drug repurposing approach was proposed to predict novel drug-target interactions (DTIs), as well as to predict the type of interaction induced. The methodology is based on mining a heterogeneous graph that integrates drug-drug and protein-protein similarity networks, together with verified drug-disease and protein-disease associations. In order to extract appropriate features, the three-layer heterogeneous graph was mapped to low dimensional v

SUBMITTER: Amiri Souri E 

PROVIDER: S-EPMC10190044 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature