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Metabolic Analysis of Drosophila melanogaster Larval and Adult Brains
Published on: August 7, 2018
Sensitivity analysis for studying the relation between biochemical reactions and metabolic phenotypes
Carlo Maj1, Ettore Mosca, Ivan Merelli
1Istituto Tecnologie Biomediche-Consiglio Nazionale Ricerche, Via F.lli Cervi 93, 20090 Segrate, Italy. carlo.maj@disco.unimib.it
Journal of Bioinformatics and Computational Biology
|February 23, 2013
Summary
This study combines sensitivity analysis and response surface methods to link metabolic phenotypes to reaction rates. The approach identified key reactions driving citric acid efflux in cancer cells.
Area of Science:
- Systems biology
- Metabolic modeling
- Biochemistry
Background:
- Metabolic models are crucial in systems biology for applications like metabolic engineering and studying metabolic disorders.
- Sensitivity analysis is vital for understanding how model parameters affect behavior.
Purpose of the Study:
- To develop a method combining regionalized sensitivity analysis and response surface methodology.
- To screen and quantitatively characterize the relationship between metabolic phenotypes and biochemical reaction rates.
Main Methods:
- Regionalized sensitivity analysis
- Response surface methodology
- Integration of these techniques for analysis.
Main Results:
- Successfully combined regionalized sensitivity analysis and response surface methodology.
- Identified key biochemical reactions influencing citric acid efflux from mitochondria.
- Characterized the relationship between metabolic phenotypes and reaction rates.
Conclusions:
- The integrated approach effectively links metabolic phenotypes to reaction rates.
- This method is valuable for understanding key metabolic traits, such as those in cancer cells.
- Identified critical reactions for mitochondrial citric acid efflux, a hallmark of cancer metabolism.
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