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Development of constant-pH simulation methods in implicit solvent and applications in biomolecular systems

机译:隐性溶剂中恒定pH模拟方法的开发及其在生物分子系统中的应用

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摘要

pH is a critical parameter for biological and technological systems directly related with electrical charges. It can give rise to peculiar electrostatic phenomena, which also makes them more challenging. Due to the quantum nature of the process, involving the forming and breaking of chemical bonds, quantum methods should ideally by employed. Nevertheless, due to the very large number of ionizable sites, different macromolecular conformations, salt conditions, and all other charged species, the CPU time cost simply becomes prohibitive for computer simulations, making this a quite complex problem. Simplified methods based on Monte Carlo sampling have been devised and will be reviewed here, highlighting the updated state-of-the-art of this field, advantages, and limitations of different theoretical protocols for biomolecular systems (proteins and nucleic acids). Following a historical perspective, the discussion will be associated with the applications to protein interactions with other proteins, polyelectrolytes, and nanoparticles.
机译:pH是与电荷直接相关的生物和技术系统的关键参数。它会引起特殊的静电现象,这也使它们更具挑战性。由于该方法的量子性质,涉及化学键的形成和断裂,因此理想地应采用量子方法。然而,由于大量可电离的位点,不同的大分子构型,盐条件以及所有其他带电种类,CPU时间成本对于计算机仿真来说变得非常昂贵,这成为一个相当复杂的问题。已经设计出了基于蒙特卡洛采样的简化方法,并将在此进行综述,重点介绍该领域的最新技术,优点以及针对生物分子系统(蛋白质和核酸)的不同理论规程的局限性。从历史的角度出发,该讨论将与蛋白质与其他蛋白质,聚电解质和纳米粒子相互作用的应用有关。

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