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C. Y. Maurice Cheung
Researcher at Yale-NUS College
Publications - 19
Citations - 688
C. Y. Maurice Cheung is an academic researcher from Yale-NUS College. The author has contributed to research in topics: Flux (metabolism) & Flux balance analysis. The author has an hindex of 11, co-authored 19 publications receiving 554 citations. Previous affiliations of C. Y. Maurice Cheung include University of Oxford & National University of Singapore.
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A Diel Flux Balance Model Captures Interactions between Light and Dark Metabolism during Day-Night Cycles in C3 and Crassulacean Acid Metabolism Leaves.
TL;DR: A diel flux balance modeling framework that integrates temporally separated metabolic networks provides realistic descriptions of light and dark metabolism in C3 and CAM leaves and suggests that energetics and nitrogen use efficiency are unlikely to have been drivers for the evolution of CAM.
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A method for accounting for maintenance costs in flux balance analysis improves the prediction of plant cell metabolic phenotypes under stress conditions.
C. Y. Maurice Cheung,Thomas C. R. Williams,Mark G. Poolman,David A. Fell,R. George Ratcliffe,Lee J. Sweetlove +5 more
TL;DR: Accounting for transport and maintenance costs substantially improves the accuracy of fluxes predicted from a flux balance model of heterotrophic Arabidopsis cells in culture, irrespective of the objective function used in the analysis.
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Computational analysis of the productivity potential of CAM
TL;DR: It is concluded that CAM does not impose a significant productivity penalty and that engineering CAM into C3 crops is likely to lead to a major increase in water-use efficiency without substantially affecting yield.
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A genome‐scale metabolic network reconstruction of tomato (Solanum lycopersicum L.) and its application to photorespiratory metabolism
TL;DR: The reconstructed iHY3410, a genome-scale metabolic model of tomato leaf, provides a sound framework for investigating tomato metabolism and gives valuable insights into the functional consequences of abiotic stresses.
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Modelling metabolic CO₂ evolution--a fresh perspective on respiration.
TL;DR: It is concluded that FBA, in its standard form, can be used to predict CO₂ evolution in a range of plant tissues and in response to environment.