Maurice Cheung

Science (Life Sciences)

Assistant Professor

Email: maurice.cheung@yale-nus.edu.sg

View Curriculum Vitae

Assistant Professor Maurice Cheung received his BA in Natural Sciences (Biochemistry) at the University of Cambridge in 2009. From 2009 to 2013, Asst Prof Cheung studied in the Systems Biology Doctoral Training Centre at the University of Oxford followed by his DPhil work on computational modelling of plant metabolism in the Department of Plant Sciences. During his DPhil, he also worked in the Cell Systems Modelling Group at Oxford Brookes University. Prior to joining Yale-NUS, Asst Prof Cheung was a research fellow in the Department of Chemical and Biomolecular Engineering at the National University of Singapore.

Asst Prof Cheung’s research interests are in developing and applying computational systems biology approaches in understanding the properties and behaviour of metabolic systems. His research involves the reconstruction of large- and genome-scale metabolic models and the development of modelling frameworks for analysing constraint-based models.

Asst Prof Cheung’s research focus is on computational modelling of plant metabolism with the aim to further our understanding of the behaviour of different plant metabolic systems, from seed germination to guard cells and photosynthetic systems to dynamic whole-plant systems. Since he joined Yale-NUS College, Asst Prof Cheung has developed an interest in using constraint-based modelling to study the evolution of photosynthetic systems such as C4 and CAM.

Tay, I. Y. Y., Odang, K. B., Cheung, C. Y. M. (2021) Metabolic Modeling of the C3-CAM Continuum Revealed the Establishment of a Starch/Sugar-Malate Cycle in CAM Evolution. Frontiers in Plant Science, 11, 573197

Tan, X. L. J., Cheung, C. Y. M. (2020) A multiphase flux balance model reveals flexibility of central carbon metabolism in guard cells of C3 plants. The Plant Journal, 104, 1648-1656.

Shaw, R., Cheung, C. Y. M. (2020) Multi-tissue to whole plant metabolic modelling. Cellular and Molecular Life Sciences, 77, 489-495.

Moreira, T. B., Shaw, R., Luo, X., Ganguly, O., Kim, H.-S., Coelho, L. G. F., Cheung, C. Y. M., Williams, T. C. R. (2019) A genome-scale metabolic model of soybean (Glycine max) highlights metabolic fluxes in seedlings. Plant Physiology, 180, 1912-29.

Shaw, R., Cheung, C. Y. M. (2019) A mass and charge balanced metabolic model of Setaria viridis revealed mechanisms of proton balancing in C4 plants. BMC Bioinformatics, 20, 357.

Shaw, R., Cheung, C. Y. M. (2018) A dynamic multi-tissue flux balance model captures carbon and nitrogen metabolism and optimal resource partitioning during Arabidopsis growth. Frontiers in Plant Science, 9, 884.

Shameer, S., Baghalian, K., Cheung, C. Y. M., Ratcliffe, R. G., Sweetlove, L. J. (2018) Computational analysis of the productivity-potential of CAM plants. Nature Plants, 4, 165–171.

Lakshmanan, M., Cheung, C. Y. M., Mohanty, B., and Lee, D.-Y. (2016) Modeling Rice Metabolism: From Elucidating Environmental Effects on Cellular Phenotype to Guiding Crop Improvement. Frontiers in Plant Science, 7, 1795.

Yuan, H., Cheung, C. Y. M., Hilbers, P. and van Riel, N.A.W. (2016) Flux balance analysis of plant metabolism: the effect of biomass composition and model structure on model predictions. Frontiers in Plant Science, 7, 537.

Mohanty, B., Kitazumi, A., Cheung, C. Y. M., Lakshmanan, M., de los Reyes, B. G., Jang, I.-C., Lee, D.-Y. (2016) Identification of candidate network hubs involved in metabolic adjustments of rice under drought stress by integrating transcriptome data and genome-scale metabolic network. Plant Science, 242, 224–239.

Yuan, H., Cheung, C.Y.M., Poolman, M.G., Hilbers, P.A.J. and van Riel, N.A.W. (2016) A genome-scale metabolic network reconstruction of tomato (Solanum lycopersicum L.) and its application to photorespiratory metabolism. The Plant Journal, 85, 289–304.

Liang, C., Zhang, Y., Cheng, S., Osorio, S., Sun, Y., Fernie, A.R., Cheung, C.Y.M. and Lim, B.L. (2015) Impacts of high ATP supply from chloroplasts and mitochondria on the leaf metabolism of Arabidopsis thaliana. Frontiers in Plant Science, 6, 992.

Cheung, C.Y.M., Ratcliffe, R.G. and Sweetlove, L.J. (2015) A method of accounting for enzyme costs in flux balance analysis reveals alternative pathways and metabolite stores in an illuminated Arabidopsis leaf. Plant Physiology, 169, 1671–1682.

Cheung, C.Y.M., Poolman, M.G., Fell, D.A., Ratcliffe, R.G. and Sweetlove, L.J. (2014) A diel flux-balance model captures interactions between light and dark metabolism during day-night cycles in C3 and CAM leaves. Plant Physiology, 165, 2917-29.

Cheung, C.Y.M., Williams, T.C.R., Poolman, M.G., Fell, D.A., Ratcliffe, R.G. and Sweetlove, L.J. (2013) A method for accounting for maintenance costs in flux balance analysis improves the prediction of plant cell metabolic phenotypes under stress conditions. The Plant Journal, 75, 1050-61.

Sweetlove, L.J., Williams, T.C.R., Cheung, C.Y.M. and Ratcliffe, R.G. (2013) Modelling metabolic CO2 evolution – a fresh perspective on respiration. Plant, Cell & Environment, 36, 1631-40.

Scientific Inquiry 1
Scientific Inquiry 2
Biochemistry
Plant Biology