Vol. 2 No. 1 (2022): Advances in Deep Learning Techniques
Articles

Harnessing Quantum Computing for Drug Discovery and Molecular Modelling in Precision Medicine: Exploring Its Applications and Implications for Precision Medicine Advancement

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  • Mohan Raparthi
Mohan Raparthi
Independent Researcher
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Published 02-02-2022

Keywords

  • Quantum Computing,
  • Drug Discovery,
  • Molecular Modeling,
  • Precision Medicine,
  • Quantum Algorithms,
  • Quantum Chemistry,
  • Quantum Machine Learning,
  • Quantum Simulation,
  • Quantum Supremacy,
  • Quantum Advantage
    • ...More
    Less

How to Cite

[1]
M. Raparthi, “Harnessing Quantum Computing for Drug Discovery and Molecular Modelling in Precision Medicine: Exploring Its Applications and Implications for Precision Medicine Advancement”, Adv. in Deep Learning Techniques, vol. 2, no. 1, pp. 27–36, Feb. 2022.
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Abstract

Quantum computing is poised to revolutionize various scientific fields, including drug discovery and molecular modeling in precision medicine. This paper explores the potential of quantum computing in advancing precision medicine through enhanced drug discovery and molecular modeling techniques. We discuss the principles of quantum computing relevant to these applications and highlight its advantages over classical computing. Additionally, we review current research and developments in utilizing quantum computing for drug discovery and molecular modeling, emphasizing its potential to accelerate the identification of novel drug candidates and improve understanding of molecular interactions. Furthermore, we examine the challenges and limitations of quantum computing in this context and propose future directions for research and application. Overall, this paper provides insights into the transformative impact of quantum computing on precision medicine and its potential to drive significant advancements in healthcare.

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