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review · Briefings in Bioinformatics · 2024

New classifications for quantum bioinformatics: Q-bioinformatics, QCt-bioinformatics, QCg-bioinformatics, and QCr-bioinformatics

Majid Mokhtari, Samane Khoshbakht, Kobra Ziyaei, Mohammad Esmaeil Akbari, Sayyed Sajjad Moravveji

Cited by 19Open access

Abstract

Bioinformatics has revolutionized biology and medicine by using computational methods to analyze and interpret biological data. Quantum mechanics has recently emerged as a promising tool for the analysis of biological systems, leading to the development of quantum bioinformatics. This new field employs the principles of quantum mechanics, quantum algorithms, and quantum computing to solve complex problems in molecular biology, drug design, and protein folding. However, the intersection of bioinformatics, biology, and quantum mechanics presents unique challenges. One significant challenge is the possibility of confusion among scientists between quantum bioinformatics and quantum biology, which have similar goals and concepts. Additionally, the diverse calculations in each field make it difficult to establish boundaries and identify purely quantum effects from other factors that may affect biological processes. This review provides an overview of the concepts of quantum biology and quantum mechanics and their intersection in quantum bioinformatics. We examine the challenges and unique features of this field and propose a classification of quantum bioinformatics to promote interdisciplinary collaboration and accelerate progress. By unlocking the full potential of quantum bioinformatics, this review aims to contribute to our understanding of quantum mechanics in biological systems.

Cite this paper

APA 7

Mokhtari, M., Khoshbakht, S., Ziyaei, K., Akbari, M. E., & Moravveji, S. S. (2024). New classifications for quantum bioinformatics: Q-bioinformatics, QCt-bioinformatics, QCg-bioinformatics, and QCr-bioinformatics. Briefings in Bioinformatics, 25(2). https://doi.org/10.1093/bib/bbae074

MLA 9

Mokhtari, Majid, et al. “New classifications for quantum bioinformatics: Q-bioinformatics, QCt-bioinformatics, QCg-bioinformatics, and QCr-bioinformatics.” Briefings in Bioinformatics, vol. 25, no. 2, 2024, https://doi.org/10.1093/bib/bbae074.

Chicago

Mokhtari, Majid, Samane Khoshbakht, Kobra Ziyaei, Mohammad Esmaeil Akbari, and Sayyed Sajjad Moravveji. 2024. “New classifications for quantum bioinformatics: Q-bioinformatics, QCt-bioinformatics, QCg-bioinformatics, and QCr-bioinformatics.” Briefings in Bioinformatics 25 (2). https://doi.org/10.1093/bib/bbae074.

Harvard

Mokhtari, M. et al. (2024) ‘New classifications for quantum bioinformatics: Q-bioinformatics, QCt-bioinformatics, QCg-bioinformatics, and QCr-bioinformatics’, Briefings in Bioinformatics, 25(2). Available at: https://doi.org/10.1093/bib/bbae074.

BibTeX
@article{mokhtari2024classifications,
  title = {{New classifications for quantum bioinformatics: Q-bioinformatics, QCt-bioinformatics, QCg-bioinformatics, and QCr-bioinformatics}},
  author = {Mokhtari, Majid and Khoshbakht, Samane and Ziyaei, Kobra and Akbari, Mohammad Esmaeil and Moravveji, Sayyed Sajjad},
  journal = {Briefings in Bioinformatics},
  volume = {25},
  number = {2},
  year = {2024},
  doi = {10.1093/bib/bbae074}
}

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