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2000
Volume 17, Issue 3
  • ISSN: 2949-6810
  • E-ISSN: 2949-6829
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Abstract

Quantum computing is poised to advance drug metabolism studies and drug delivery system design by providing unparalleled precision in simulating molecular interactions and optimizing therapeutic strategies. In drug metabolism, quantum algorithms allow for the accurate modeling of complex enzyme dynamics, such as those involving cytochrome P450 enzymes, which play a pivotal role in drug biotransformation. These simulations offer insights into metabolic pathways, helping predict drug efficacy, potential toxicities, and interactions with other compounds. Additionally, quantum computing is transforming drug delivery system design by enhancing the development of nanocarriers, optimizing their targeting and release profiles, and minimizing off-target effects. Quantum models enable more efficient design of nanoparticles, liposomes, and other carriers by simulating their interactions with biological environments at the atomic level. Together, these innovations enable faster, more personalized drug development, reducing the need for extensive testing and offering a path toward safer, more effective treatments for complex diseases.

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2025-02-24
2025-10-31

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Quantum Computing Assays: Advancing Drug Metabolism Studies and Drug Delivery Design
Drug Metab. Bioanal. Lett. 17, 99 (2024); https://doi.org/10.2174/0118723128358210250219103853
/content/journals/dmbl/10.2174/0118723128358210250219103853
/content/journals/dmbl/10.2174/0118723128358210250219103853
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  • Article Type:     Editorial
Keyword(s): biochemical reactions; drug delivery systems; drug metabolism; gene therapy; molecular simulation; nanotechnology; personalized medicine; pharmacokinetics; Quantum computing; stimuli-responsive systems

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