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Testing Biochemistry Revisited: How In Vivo Metabolism Can Be Understood from In Vitro Enzyme Kinetics

Overview of attention for article published in PLoS Computational Biology, April 2012
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Title
Testing Biochemistry Revisited: How In Vivo Metabolism Can Be Understood from In Vitro Enzyme Kinetics
Published in
PLoS Computational Biology, April 2012
DOI 10.1371/journal.pcbi.1002483
Pubmed ID
Authors

Karen van Eunen, José A. L. Kiewiet, Hans V. Westerhoff, Barbara M. Bakker

Abstract

A decade ago, a team of biochemists including two of us, modeled yeast glycolysis and showed that one of the most studied biochemical pathways could not be quite understood in terms of the kinetic properties of the constituent enzymes as measured in cell extract. Moreover, when the same model was later applied to different experimental steady-state conditions, it often exhibited unrestrained metabolite accumulation.Here we resolve this issue by showing that the results of such ab initio modeling are improved substantially by (i) including appropriate allosteric regulation and (ii) measuring the enzyme kinetic parameters under conditions that resemble the intracellular environment. The following modifications proved crucial: (i) implementation of allosteric regulation of hexokinase and pyruvate kinase, (ii) implementation of V(max) values measured under conditions that resembled the yeast cytosol, and (iii) redetermination of the kinetic parameters of glyceraldehyde-3-phosphate dehydrogenase under physiological conditions.Model predictions and experiments were compared under five different conditions of yeast growth and starvation. When either the original model was used (which lacked important allosteric regulation), or the enzyme parameters were measured under conditions that were, as usual, optimal for high enzyme activity, fructose 1,6-bisphosphate and some other glycolytic intermediates tended to accumulate to unrealistically high concentrations. Combining all adjustments yielded an accurate correspondence between model and experiments for all five steady-state and dynamic conditions. This enhances our understanding of in vivo metabolism in terms of in vitro biochemistry.

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Geographical breakdown

Country Count As %
United States 7 3%
Japan 3 1%
Portugal 2 <1%
Germany 2 <1%
Belgium 2 <1%
Sweden 1 <1%
United Kingdom 1 <1%
Spain 1 <1%
Australia 1 <1%
Other 2 <1%
Unknown 182 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 47 23%
Researcher 44 22%
Student > Master 34 17%
Student > Bachelor 13 6%
Student > Postgraduate 11 5%
Other 36 18%
Unknown 19 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 85 42%
Biochemistry, Genetics and Molecular Biology 41 20%
Engineering 16 8%
Computer Science 8 4%
Chemistry 5 2%
Other 23 11%
Unknown 26 13%