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Biologists develop a computer model of key protein that helps predict how cancer drugs will work

SMU News

Drugs important in the battle against cancer behaved according to predictions when tested in a computer-generated model of P-glycoprotein, one of the cell’s key molecular pumps.

The new model allows researchers to dock nearly any drug in the P-gp protein and see how it will actually behave in P-gp’s pump, said Associate Professor John G. Wise, lead author on the journal article announcing the advancement and a faculty member in SMU’s Department of Biological Sciences, Dedman College of Humanities and Sciences.

SMU biologists developed the computer generated model to overcome the problem of relying on only static images for the structure of P-gp. The protein is the cellular pump that protects cells by pumping out toxins.

But that’s a problem when P-gp targets chemotherapy drugs as toxic, preventing chemo from killing cancer cells. Scientists are searching for ways to inhibit P-gp’s pumping action. READ MORE