A directed weighted network-based method for drug combinations identification using drug-target and inter-target regulation.

ABSTRACT:

Background

Drug combination is currently a promising solution in treating complex diseases due to its reducing toxicity and enhancing therapeutic efficacy. However, the accurate identification of drug combination effects remains challenging.

Results

In this work, we propose a novel directed weighted network-based approach to identify drug combinations. Specifically, the network is constructed on both drug-target and inter-target interactions, together with their directed regulation. The biological processes of drug effects propagation and attenuation are modeled, aiming to capture direct and indirect drug actions on targets. By assigning weights to nodes of regulatory effects, relative distances between node sets within network can thus be computed. These distances are then

SUBMITTER: Xiao S 

PROVIDER: S-EPMC12751882 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature