Kumari Indu, Sandhu Padmani, Ahmed Mushtaq, Akhter Yusuf
Department of Environmental Science, School of Earth and Environmental Sciences, Central University of Himachal Pradesh, Shahpur, District-Kangra, Himachal Pradesh 176206. India.
Centre for Computational Biology and Bioinformatics, School of Life Sciences, Central University of Himachal Pradesh, Shahpur, District-Kangra, Himachal Pradesh 176206. India.
Curr Protein Pept Sci. 2017 Aug 30;18(11):1163-1179. doi: 10.2174/1389203718666170622074741.
Molecular dynamics (MD) is a computational technique which is used to study biomolecules in virtual environment. Each of the constituent atoms represents a particle and hence the biomolecule embodies a multi-particle mechanical system analyzed within a simulation box during MD analysis. The potential energies of the atoms are explained by a mathematical expression consisting of different forces and space parameters. There are various software and force fields that have been developed for MD studies of the biomolecules. MD analysis has unravelled the various biological mechanisms (protein folding/unfolding, protein-small molecule interactions, protein-protein interactions, DNA/RNA-protein interactions, proteins embedded in membrane, lipid-lipid interactions, drug transport etc.) operating at the atomic and molecular levels. However, there are still some parameters including torsions in amino acids, carbohydrates (whose structure is extended and not well defined like that of proteins) and single stranded nucleic acids for which the force fields need further improvement, although there are several workers putting in constant efforts in these directions. The existing force fields are not efficient for studying the crowded environment inside the cells, since these interactions involve multiple factors in real time. Therefore, the improved force fields may provide the opportunities for their wider applications on the complex biosystems in diverse cellular conditions. In conclusion, the intervention of MD in the basic sciences involving interdisciplinary approaches will be helpful for understanding many fundamental biological and physiological processes at the molecular levels that may be further applied in various fields including biotechnology, fisheries, sustainable agriculture and biomedical research.
分子动力学(MD)是一种计算技术,用于在虚拟环境中研究生物分子。每个组成原子都代表一个粒子,因此生物分子体现了一个多粒子力学系统,在分子动力学分析过程中,该系统在模拟盒内进行分析。原子的势能由一个由不同力和空间参数组成的数学表达式来解释。已经开发了各种软件和力场用于生物分子的分子动力学研究。分子动力学分析揭示了在原子和分子水平上运行的各种生物学机制(蛋白质折叠/去折叠、蛋白质-小分子相互作用、蛋白质-蛋白质相互作用、DNA/RNA-蛋白质相互作用、嵌入膜中的蛋白质、脂质-脂质相互作用、药物转运等)。然而,仍然存在一些参数,包括氨基酸中的扭转、碳水化合物(其结构是扩展的,不像蛋白质那样定义明确)和单链核酸,尽管有几位研究人员在这些方面不断努力,但这些参数的力场仍需要进一步改进。现有的力场对于研究细胞内拥挤的环境并不有效,因为这些相互作用实时涉及多个因素。因此,改进后的力场可能为它们在不同细胞条件下的复杂生物系统中的更广泛应用提供机会。总之,分子动力学在涉及跨学科方法的基础科学中的介入将有助于在分子水平上理解许多基本的生物学和生理过程,这些过程可能会进一步应用于包括生物技术、渔业、可持续农业和生物医学研究在内的各个领域。