Sagol faculty

Ruppin-Eytan-sagol-profile

Prof. Eytan Ruppin

School of Computer Science & Sackler Faculty of Medicine


Tel: 03-6406528/5370

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Research topic: Genome scale modeling of human metabolism: Our current focus is on developing genomic-scale metabolic models of human tissues and studying their role in understanding an array of human diseases.
Current brain research projects in the lab involve the integrated computational and experimental study of metabolic alterations in the brain that are associated with the progression of Alzheimer’s disease, epilepsy and aging.

Research methods: Bioinformatics and computational biology modeling tools, with focus on genome scale metabolic modeling.

Main projects in the lab include:

  1. Analyzing gene expression from whole tissue vs. different cell types reveals the central role of neurons in predicting severity of alzhiemer’s disease
  2. Hippocampus neuronal metabolic gene expression outperforms whole tissue data in accurately predicting Alzheimer’s disease progression
  3. Gene expression in the rodent brain is associated with its regional connectivity