Yizhak’s algorithm, which she calls a “metabolic transformation algorithm,” or MTA, can take information about any two metabolic states and predict the environmental or genetic changes required to go from one state to the other.
“Gene expression” is the measurement of the expression level of individual genes in a cell, and genes can be “turned off” in various ways to prevent them from being expressed in the cell. In the study, Yizhak applied MTA to the genetics of aging. After using her custom-designed MTA to confirm previous laboratory findings, she used it to predict genes that can be turned off to make the gene expression of old yeast look like that of young yeast. Yeast is the most widely used genetic model because much of its DNA is preserved in humans.