You are currently viewing the abstract.
View Full TextLog in to view the full text
AAAS login provides access to Science for AAAS members, and access to other journals in the Science family to users who have purchased individual subscriptions.
More options
Download and print this article for your personal scholarly, research, and educational use.
Buy a single issue of Science for just $15 USD.
Abstract
This Podcast features an interview with Ravi Iyengar and John He, authors of a Research Article published in the 4 February 2014 issue of Science Signaling, about using network modeling to predict strategies for repairing kidney damage. Kidney damage is often characterized by changes in the morphology of podocytes. The highly specialized morphology of podocytes is critical for the kidney's ability to filter waste products out of the blood without allowing proteins and other large molecules to leak from the blood into the urine. A group led by Ravi Iyengar and John He identified changes in protein abundance that were associated with damaged kidneys and used computational methods to predict drug targets for restoring normal podocyte morphology and function.