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Towards Physical Understanding of Molecular Recognition in the Cell: Recent Evolution of Molecular Dynamics Techniques and Free Energy Theories

机译:对细胞中分子识别的物理理解:分子动力学技术和自由能理论的最新发展

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摘要

In cells, molecules do not arbitrarily interact with others; interact only with molecules of a particular type. This molecular recognition is a very important molecular function as one of the molecular bases on which the cells sustain their lives. Recently, it has been found that molecular recognition, which occurs not only between protein and protein but also between RNA and protein, plays important roles in the cell. Understanding of the molecular recognition at the atomic level is one of the challenging problems in the field of molecular biology and biochemistry. In this review, we address the theoretical and practical aspects of molecular dynamics simulation, which has become an important tool for studying the molecular recognition. From the theoretical viewpoint, many free energy calculation methods based on statistical mechanics have been developed. As for the practical aspects, it is important that the evolution of the computing technique not only enabled long-time simulations, but also enhanced prediction accuracy of simulations with developing new reliable force fields. By the recent development of theory and technology, the challenging tasks such as analysis and prediction of conformational distribution, structural change, and free energy of protein and/or nucleic acid systems are becoming possible.
机译:在细胞中,分子不会与他人任意相互作用。仅与特定类型的分子相互作用。作为细胞维持生命的分子基础之一,这种分子识别是非常重要的分子功能。最近,已经发现不仅在蛋白质与蛋白质之间而且在RNA与蛋白质之间发生的分子识别在细胞中起重要作用。在原子水平上对分子识别的理解是分子生物学和生物化学领域中的挑战性问题之一。在这篇综述中,我们讨论了分子动力学模拟的理论和实践方面,这已成为研究分子识别的重要工具。从理论上讲,已经开发了许多基于统计力学的自由能计算方法。至于实际方面,重要的是计算技术的发展不仅能够进行长时间的模拟,而且随着开发新的可靠力场而提高了模拟的预测精度。随着理论和技术的最新发展,具有挑战性的任务,例如分析和预测构象分布,结构变化以及蛋白质和/或核酸系统的自由能,成为可能。

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