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,
  • Swaroop Reddy Gayam,
  • Bhavani Prasad Kasaraneni,
  • Krishna Kanth Kondapaka,
  • Sudharshan Putha,
  • Sandeep Pushyamitra Pattyam,
  • Praveen Thuniki,
  • Siva Sarana Kuna,
  • Venkata Siva Prakash Nimmagadda,
  • Mohit Kumar Sahu
Mohan Raparthi
Independent Researcher
Swaroop Reddy Gayam
Independent Researcher and Senior Software Engineer at TJMax, USA
Bhavani Prasad Kasaraneni
Independent Researcher, USA
Krishna Kanth Kondapaka
Independent Researcher, CA ,USA
Sudharshan Putha
Independent Researcher and Senior Software Developer, USA
Sandeep Pushyamitra Pattyam
Independent Researcher and Data Engineer, USA
Praveen Thuniki
Independent Research, Sr Program Analyst, Georgia, USA
Siva Sarana Kuna
Independent Researcher and Software Developer, USA
Venkata Siva Prakash Nimmagadda
Independent Researcher, USA
Mohit Kumar Sahu
Independent Researcher and Senior Software Engineer, CA, USA
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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.
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

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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References

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