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Supermetabolic Pathways (or Supermetabolons) as Novel Biomarkers for Drug Discovery and Personalized Medicine

Abstract:
Recent developments in cell biology suggest that living cells use three categories of structures similar to words, sentences, and texts in human language. Functionally, enzymes correspond to words, metabolic pathways (or metabolons more briefly) correspond to sentences, and systems of metabolons (called supermetabolons) correspond to texts or computer programs. Supermetabolons that can be identified using the computer algorithm known as the Planck- Shannon classifier applied to mRNA expression profiles have been found to serve as novel biomarkers for either beneficial or toxic effects of the anti-cancer drug doxorubicin in breast cancer patients. These findings serve as the empirical and theoretical basis for formulating the new strategies for drug discovery and personalized pharmacotherapy referred to as the transcriptome-based Planck-Shannon classifier method.