Discovery of therapeutic agents for prostate cancer using genome-scale metabolic modeling and drug repositioning.

ABSTRACT:

Background

Genome-scale metabolic models (GEMs) offer insights into cancer metabolism and have been used to identify potential biomarkers and drug targets. Drug repositioning is a time- and cost-effective method of drug discovery that can be applied together with GEMs for effective cancer treatment.

Methods

In this study, we reconstruct a prostate cancer (PRAD)-specific GEM for exploring prostate cancer metabolism and also repurposing new therapeutic agents that can be used in development of effective cancer treatment. We integrate global gene expression profiling of cell lines with >1000 different drugs through the use of prostate cancer GEM and predict possible drug-gene interactions.

Findings

We identify the key reactions with altered fluxes based on the gene expre

SUBMITTER: Turanli B 

PROVIDER: S-EPMC6491384 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature