This chapter explores the transformative role of cutting-edge technologies—quantum computing, generative AI, and mixed reality—in overcoming the challenges of simulating protein folding. Protein folding, a fundamental process in systems biology, is central to understanding cellular mechanisms, drug discovery, and disease treatment. However, simulating protein folding at an atomic level remains computationally challenging due to the complexity of protein structures and the vastness of their conformational space. This chapter aims to provide a comprehensive overview of how integrating quantum computing and mixed reality reshapes protein folding research, opening new avenues for scientific exploration and breakthroughs in the life sciences.

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Generative AI with Quantum Computing for Visualizing Proteins in Mixed Reality

  • Don Roosan,
  • Tiffany Khou

摘要

This chapter explores the transformative role of cutting-edge technologies—quantum computing, generative AI, and mixed reality—in overcoming the challenges of simulating protein folding. Protein folding, a fundamental process in systems biology, is central to understanding cellular mechanisms, drug discovery, and disease treatment. However, simulating protein folding at an atomic level remains computationally challenging due to the complexity of protein structures and the vastness of their conformational space. This chapter aims to provide a comprehensive overview of how integrating quantum computing and mixed reality reshapes protein folding research, opening new avenues for scientific exploration and breakthroughs in the life sciences.