A multi-institution team of researchers led by Mohammad Ghazi Vakili (University of Toronto) and Christoph Gorgulla (St. Jude Children’s Research Hospital and Harvard University) reported using a hyrbid quantum-classical workflow to identify KRAS inhibitor drug candidates. KRAS is a well-known cancer causing gene.
The post Researchers Use Hybrid Quantum-Classical Workflow to Identify KRAS Inhibitors appeared first on HPCwire.
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