关键词: Quantum bioinformatics Quantum biology Quantum mechanics

Mesh : Computing Methodologies Quantum Theory Algorithms Computational Biology Drug Design

来  源:   DOI:10.1093/bib/bbae074   PDF(Pubmed)

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.
摘要:
生物信息学通过使用计算方法来分析和解释生物数据,彻底改变了生物学和医学。量子力学最近已成为分析生物系统的一种有前途的工具,导致量子生物信息学的发展。这个新领域采用了量子力学的原理,量子算法,和量子计算来解决分子生物学中的复杂问题,药物设计,和蛋白质折叠。然而,生物信息学的交叉点,生物学和量子力学提出了独特的挑战。一个重要的挑战是科学家之间的量子生物信息学和量子生物学之间的混淆的可能性,有相似的目标和概念。此外,每个领域的不同计算使得很难从可能影响生物过程的其他因素中确定边界和识别纯粹的量子效应。这篇综述概述了量子生物学和量子力学的概念及其在量子生物信息学中的交集。我们研究了该领域的挑战和独特特征,并提出了量子生物信息学的分类,以促进跨学科合作并加速进步。通过释放量子生物信息学的全部潜力,这篇综述旨在帮助我们理解生物系统中的量子力学。
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