Keren Yizhak

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).

Computer Science Learning in the Community:

This year I joined a voluntary activity called "Computer Science Learning in the Community" aka "Computer Science Unplugged". Within this framework, I teach computer science to junior-high school students in Pardes-Katz. The activities of the program are designated to introduce students to underlying concepts of computer science, including binary numbers, searching algorithms, encryption etc. The teaching is done in a manner that is truly unique; through engaging games, cards, puzzles, etc.
More information can be found on the program's website: