Two-stage flux balance analysis of metabolic networks for drug target identification.

ABSTRACT:

Background

Efficient identification of drug targets is one of major challenges for drug discovery and drug development. Traditional approaches to drug target identification include literature search-based target prioritization and in vitro binding assays which are both time-consuming and labor intensive. Computational integration of different knowledge sources is a more effective alternative. Wealth of omics data generated from genomic, proteomic and metabolomic techniques changes the way researchers view drug targets and provides unprecedent opportunities for drug target identification.

Results

In this paper, we develop a method based on flux balance analysis (FBA) of metabolic networks to identify potential drug targets. This method consists of two linear programming (LP)

SUBMITTER: Li Z 

PROVIDER: S-EPMC3121111 | biostudies-literature | 2011 Jun

REPOSITORIES: biostudies-literature