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Team uses AI and quantum computing to target 'undruggable' cancer protein

The article from MSN discusses a groundbreaking study where researchers from the University of California, Los Angeles (UCLA) and other institutions have utilized artificial intelligence (AI) and quantum computing to tackle the "undruggable" cancer protein, MYC. This protein has been notoriously difficult to target with conventional drug therapies due to its lack of defined binding pockets. The team employed AI to analyze vast amounts of data to predict potential drug-like molecules that could interact with MYC. They then used quantum computing to simulate how these molecules might bind to MYC, offering insights into molecular interactions at a quantum level which classical computers struggle to replicate efficiently. This approach not only identified potential inhibitors but also demonstrated a novel method for drug discovery, potentially opening new avenues for treating cancers where MYC plays a significant role. The study highlights the synergy between AI's data processing capabilities and quantum computing's simulation power, marking a significant step forward in personalized medicine and cancer research.

Read the Full MSN Article at:
[ https://www.msn.com/en-us/technology/artificial-intelligence/team-uses-ai-and-quantum-computing-to-target-undruggable-cancer-protein/ar-AA1xXsTY ]