Title |
RELATCH: relative optimality in metabolic networks explains robust metabolic and regulatory responses to perturbations
|
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Published in |
Genome Biology, September 2012
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DOI | 10.1186/gb-2012-13-9-r78 |
Pubmed ID | |
Authors |
Joonhoon Kim, Jennifer L Reed |
Abstract |
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. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 1 | 25% |
United Kingdom | 1 | 25% |
Japan | 1 | 25% |
Germany | 1 | 25% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 2 | 50% |
Science communicators (journalists, bloggers, editors) | 1 | 25% |
Members of the public | 1 | 25% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 2% |
Denmark | 2 | 1% |
Portugal | 1 | <1% |
Belgium | 1 | <1% |
Sweden | 1 | <1% |
Japan | 1 | <1% |
Iran, Islamic Republic of | 1 | <1% |
Unknown | 152 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 56 | 35% |
Researcher | 28 | 17% |
Student > Bachelor | 16 | 10% |
Student > Master | 15 | 9% |
Student > Doctoral Student | 9 | 6% |
Other | 26 | 16% |
Unknown | 12 | 7% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 54 | 33% |
Engineering | 29 | 18% |
Chemical Engineering | 19 | 12% |
Biochemistry, Genetics and Molecular Biology | 14 | 9% |
Computer Science | 12 | 7% |
Other | 15 | 9% |
Unknown | 19 | 12% |