Abstract
Metabolomics is the comprehensive characterization of endogenous small molecules metabolites, xenometabolites and their metabolisms. The recent introduction of high-throughput metabolomics approaches has fostered strides related to the capacity to in silico elaborate metabolomics data by means of system biology. Recent progresses in bioanalytical technologies assisted with algorithms enabling large-scale data analysis potentiate application of metabolomics approaches in biomarker- based disease diagnosis, therapeutic target identification, personalized medicine, and the monitoring of clinical outcomes. In this review article we will focus on recent applications of metabolomics approaches in the identification of potential therapeutic candidates based on our and others' confirmed experience with this cutting-edge technology.
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