Virtual safety panel predicts drugs' side effects
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The computer model uses “similarity ensemble approach” (SEA), to detect similarities between the chemical drugs of the compounds and the molecules that cause side effects
Article Summary
A team of scientists from the UCSF School of Pharmacy, Novartis Institutes for Biomedical Research (NIBR) and SeaChange Pharmaceuticals has developed a set of computer models that can predict negative side effects associated with existing drugs. By speeding up the process and increasing accuracy, the software could potentially save billions in research and decrease the number of animals used in toxicity tests.
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