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As many as half of cancer-signaling proteins once thought to be resistant to drug treatment due to lack of targetability may, in fact, be treatable, a study conducted at Perelman School of Medicine at the University of Pennsylvania showed.The findings, published in Nature Communications, identified targetable “cryptic pockets” in these proteins using a Penn-developed neural network
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The pioneer of biophysics and data science has joint appointments in the Department of Biochemistry and Biophysics in the Perelman School of Medicine and the Department of Bioengineering in the School of Engineering and Applied Science.
Using a Penn-designed neural network called PocketMiner, a Penn Medicine research team has identified hidden protein pockets that can provide new opportunities for cancer drugs to bind to.