A network flow approach to predict drug targets from microarray data, disease genes and interactome network - case study on prostate cancer.

ABSTRACT:

Background

Systematic approach for drug discovery is an emerging discipline in systems biology research area. It aims at integrating interaction data and experimental data to elucidate diseases and also raises new issues in drug discovery for cancer treatment. However, drug target discovery is still at a trial-and-error experimental stage and it is a challenging task to develop a prediction model that can systematically detect possible drug targets to deal with complex diseases.

Methods

We integrate gene expression, disease genes and interaction networks to identify the effective drug targets which have a strong influence on disease genes using network flow approach. In the experiments, we adopt the microarray dataset containing 62 prostate cancer samples and 41 normal sampl

SUBMITTER: Yeh SH 

PROVIDER: S-EPMC3285036 | biostudies-literature | 2012 Jan

REPOSITORIES: biostudies-literature