DrugSim2DR: systematic prediction of drug functional similarities in the context of specific disease for drug repurposing.

ABSTRACT:

Background

Traditional approaches to drug development are costly and involve high risks. The drug repurposing approach can be a valuable alternative to traditional approaches and has therefore received considerable attention in recent years.

Findings

Herein, we develop a previously undescribed computational approach, called DrugSim2DR, which uses a network diffusion algorithm to identify candidate anticancer drugs based on a drug functional similarity network. The innovation of the approach lies in the drug-drug functional similarity network constructed in a manner that implicitly links drugs through their common biological functions in the context of a specific disease state, as the similarity relationships based on general states (e.g., network proximity or Jaccard index o

SUBMITTER: Wu J 

PROVIDER: S-EPMC10729734 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature