Keren Yizhak is studying for her PhD in the field of Bioinformatics at Tel Aviv University. Her research focuses on the study of human disorders in which metabolism plays a central role, such as aging, cancer, and obesity. Keren develops novel computational methods to analyze cellular metabolism, by integrating high throughput data with genome-scale metabolic models. Her goal is to advance understanding of the pathogenesis of the underlying metabolic alterations of these diseases, and suggest novel therapeutic interventions to combat them.
• Goldstein I, Yizhak K, Madar S, Goldfinger N, Ruppin E, Rotter V. (2013) p53 promotes the expression of gluconeogenesis-related genes and enhances hepatic glucose production. Cancer & Metabolism 1: 9.
• Oberhardt, M.A., Yizhak, K. & Ruppin, E. (2013) Metabolically re-modeling the drug pipeline. Current Opinion in Pharmacology 13, 778-785.
• Yizhak, K., Gabay, O., Cohen, H. & Ruppin, E. (2013) Model-based identification of drug targets that revert disrupted metabolism and its application to ageing. Nat Commun 4.
• Oberhardt M.*, Yizhak, K.*, & Ruppin E. Metabolically re-Modeling the drug pipeline. Current Opinion in Pharmacology, In press.
*These authors contributed equally to this work.
• Goldstein, I., Yizhak, K., Madar, S., Goldfinger, M., Ruppin, E. & Rotter V. P53 promotes the expression of gluconeogenesis-related genes and enhances hepatic glucose production. Cancer & Metabolism. In press.
• Yizhak, K., Tuller, T., Papp, B. & Ruppin, E. 2011. Metabolic modeling of endosymbiont genome reduction on a temporal scale. Mol. Syst. Biol. 7: 479 (doi: 10.1038/msb.2011.11)
• Yizhak, K., Benyamini, T., Liebermeister, W., Ruppin, E. & Shlomi, T. 2010. Intergrating quantitative proteomics and metabolomics with a genome-scale metabolic network model. Bioinformatics 26: i255-i260 (doi:10.1093/bioinformatics/btq183).
More information can be found on the program's website: http://csunplugged.org/