PharmaCoLogic: Preclinical Cardiac Drug Screening
Predictive computer based model Able to predict drug effects over multiple time and spatial scales
Preclinical drug screening Drug rehabilitation Drug induced cardiac arrhythmias Drug interaction with inherently coexistent risk factors
Cardiotoxicity is one of the most common and dangerous risks in the development of new drugs. Due to the association between prolonged QT intervals and drug-induced proarrhythmias, QT intervals have become widely accepted as markers for cardiac arrhythmia. QT intervals, however, have become problematic as they are neither sensitive nor selective in cardiotoxicity identification. This results in the unnecessary elimination of potentially useful drugs. Researchers at the University of California, Davis have developed PharmaCoLogic: a computer based multiscale model to predict the effects of developmental drugs and drug induced cardiotoxicity. The model uses dynamic interactions of drugs and ion channels (at the atomic level) to generate kinetic function parameters. These parameters are then integrated into predictive models at the channel, cell and tissue scales, to expose fundamental arrhythmia vulnerabilities and complex emergent behaviors. The model can be used to predict inherently coexistent risk factors during preclinical drug screening and drug rehabilitation.
Tech ID/UC Case 27335/2016-665-0 Related Cases 2016-665-0
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