Algorithm identified genes could be “turned off” for anti aging effect

Tel Aviv University Professor Eytan Ruppin‘s lab has developed an algorithm to predict which genes can be “turned off” to create the same anti-aging effect as calorie restriction.

“Most algorithms try to find drug targets that kill cells to treat cancer or bacterial infections,” said Keren Yizhak, lead researcher. “Our algorithm is the first in our field to look for drug targets not to kill cells, but to transform them from a diseased state into a healthy one.”

Professor Ruppin is a leader in genomic scale metabolic monitoring, which describes the metabolism of living cells.  Yizhak’s “metabolic transformation algorithm” can take information about any two metabolic states and predict environmental or genetic changes required to go from one to the other.


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