Drug repositioning by integrating target information through a heterogeneous network model

281Citations
Citations of this article
193Readers
Mendeley users who have this article in their library.

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.edu CONTACT: jingli@cwru.edu SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Cite

CITATION STYLE

APA

Wang, W., Yang, S., Zhang, X., & Li, J. (2014). Drug repositioning by integrating target information through a heterogeneous network model. Bioinformatics (Oxford, England), 30(20), 2923–2930. https://doi.org/10.1093/bioinformatics/btu403

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free