Quantum Mechanics and Biology

Harriman H. Dash

Mohammad Ashrafuzzaman, Jack A. Tuszyński

Badr AbdullGaffar

Quantum mechanics (QM) and surgical pathology might seem totally unrelated fields of science. Because QM or particle physics explains the very basic structure and function of nature, there are growing interconnections between the fundamentals and applications of QM and biologic sciences. QM is not only applied to the structure of atoms but also probes the structure of biologic molecules, explains their mutational changes and has provided an insight into the basic mechanisms of many different biologic systems. Many of the current applications in biologic sciences, medicine, and surgical pathology rely on the principles of QM. Because surgical pathology uses quantum phenomena such as light and studies disease's alterations that are ultimately governed by quantum changes at nanoscale levels, QM will have potential future implications for the progress of surgical pathology. These might include quantum-enhanced refinements in light, ancillary tools, and interpretation assistance computerized systems. The future of applying the concepts, discoveries, and tools of QM in surgical pathology might create something analogous to quantum biology; that is, quantum pathology or "QuPath."

Rubayat Islam Khan

Douglas W. Wilson, Harpal S. Buttar, Hardeep Singh Tuli

Majid Mokhtari, Samane Khoshbakht, Kobra Ziyaei +2 more

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.