RELATCH: relative optimality in metabolic networks explains robust metabolic and regulatory responses to perturbations
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Genome Biology 2012, 13:R78 doi:10.1186/gb-2012-13-9-r78Published: 26 September 2012
Predicting cellular responses to perturbations is an important task in systems biology. We report a new approach, RELATCH, which uses flux and gene expression data from a reference state to predict metabolic responses in a genetically or environmentally perturbed state. Using the concept of relative optimality, which considers relative flux changes from a reference state, we hypothesize a relative metabolic flux pattern is maintained from one state to another, and that cells adapt to perturbations using metabolic and regulatory reprogramming to preserve this relative flux pattern. This constraint-based approach will have broad utility where predictions of metabolic responses are needed.