The Coming Quantum Computing Evolution in the Pharmaceutical Industry and Drug R&D

Authors

  • Ahmed Hassan Cairo University, Egypt
  • Ahmed Ibrahim Department of  Pharmacology, Cairo University, Egypt

Keywords:

Quantum computing, Drug discovery, Pharmaceuticals, Machine learning, Molecular modeling, Drug development, Quantum algorithms

Abstract

Quantum computing is poised to revolutionize the pharmaceutical industry and dramatically accelerate the drug discovery and development process. By harnessing the power of quantum mechanics, quantum computers can analyze molecular interactions and simulate chemical processes with unprecedented speed and accuracy. This article provides a comprehensive overview of how quantum computing will impact drug R&D, with a focus on the key application areas of molecular modeling, genomics, clinical trials, and drug discovery. An in-depth analysis is provided on how quantum algorithms, quantum machine learning, and quantum simulations will enable faster and more targeted drug design, predictive modeling of drug interactions, accelerated genomics analysis, and improved clinical trial design. The challenges facing the development of quantum computing in pharma are also discussed. Overall, quantum computing offers immense promise to slash the time and cost of bringing new life-saving drugs to market, as well as unlocking new capabilities in personalized medicine and drug optimization.

Author Biographies

Ahmed Hassan, Cairo University, Egypt

 

 

 

 

 

Ahmed Ibrahim, Department of  Pharmacology, Cairo University, Egypt

 

 

 

The Coming Quantum Computing Evolution in the Pharmaceutical Industry and Drug R&D

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Published

2023-11-26

How to Cite

Hassan, A. ., & Ibrahim, A. . (2023). The Coming Quantum Computing Evolution in the Pharmaceutical Industry and Drug R&D. ResearchBerg Review of Science and Technology, 3(11), 1–16. Retrieved from https://researchberg.com/index.php/rrst/article/view/176