title: Drug repositioning by integrating target information through a heterogeneous network model.
abstract: BACKGROUND
  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.
  
  
  METHODS
  http://cbc.case.edu
  
  
  BACKGROUND
  jingli@cwru.edu
  
  
  BACKGROUND
  Supplementary data are available at Bioinformatics online.
authors: Department of Electrical Engineering and Computer Science, Case Western Reserve University, Cleveland, OH 44106, USA and Molecular and Computational Biology, University of Southern California, Los Angeles, CA 90089, USA Department of Electrical Engineering and Computer Science, Case Western Reserve University, Cleveland, OH 44106, USA and Molecular and Computational Biology, University of Southern California, Los Angeles, CA 90089, USA.
authors: Wenhui
authors: W
authors: Wang
authors: Department of Electrical Engineering and Computer Science, Case Western Reserve University, Cleveland, OH 44106, USA and Molecular and Computational Biology, University of Southern California, Los Angeles, CA 90089, USA.
authors: Sen
authors: S
authors: Yang
authors: Department of Electrical Engineering and Computer Science, Case Western Reserve University, Cleveland, OH 44106, USA and Molecular and Computational Biology, University of Southern California, Los Angeles, CA 90089, USA.
authors: Xiang
authors: X
authors: Zhang
authors: Department of Electrical Engineering and Computer Science, Case Western Reserve University, Cleveland, OH 44106, USA and Molecular and Computational Biology, University of Southern California, Los Angeles, CA 90089, USA.
authors: Jing
authors: J
authors: Li
mesh_terms: D000465:Algorithms; D019295:Computational Biology / Q000379:methods*; D004194:Disease; D058492:Drug Repositioning / Q000379:methods*; D006801:Humans; D008962:Models, Theoretical; D058990:Molecular Targeted Therapy; D004364:Pharmaceutical Preparations
chemical_list: D004364:Pharmaceutical Preparations