Dataset Information
Drug repositioning by integrating target information through a heterogeneous network model.
Ontology highlight
ABSTRACT: Motivation
The emergence of network medicine not only offers more opportunities for better and more complete understanding of the molecular complexities of diseases, but also serves as a promising tool for identifying new drug targets and establishing new relationships among diseases that enable drug repositioning. Computational approaches for drug repositioning by integrating information from multiple sources and multiple levels have the potential to provide great insights to the complex relationships among drugs, targets, disease genes and diseases at a system level.Results
In this article, we have proposed a computational framework based on a heterogeneous network model and applied the approach on drug repositioning by using existing omics data about diseases, drugs and drug targets. The novelty of the framework lies in the fact that the strength between a disease-drug pair is calculated through an iterative algorithm on the heterogeneous graph that also incorporates drug-target information. Comprehensive experimental results show that the proposed approach significantly outperforms several recent approaches. Case studies further illustrate its practical usefulness.Availability and implementation
http://cbc.case.eduContact
jingli@cwru.eduSupplementary information
Supplementary data are available at Bioinformatics online.
SUBMITTER: Wang W
PROVIDER: S-EPMC4184255 | biostudies-literature | 2014 Oct
REPOSITORIES: biostudies-literature
Publications
Drug repositioning by integrating target information through a heterogeneous network model.
Bioinformatics (Oxford, England) 20140627 20
<h4>Motivation</h4>The emergence of network medicine not only offers more opportunities for better and more complete understanding of the molecular complexities of diseases, but also serves as a promising tool for identifying new drug targets and establishing new relationships among diseases that enable drug repositioning. Computational approaches for drug repositioning by integrating information from multiple sources and multiple levels have the potential to provide great insights to the comple ...[more]