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Impact of Dispersion Coefficient on Simulations of Proteins and Organic Liquids

机译:分散系数对蛋白质和有机液体模拟的影响

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In the context of studies of proteins under crowding conditions, it was found that there is a tendency of simulated proteins to coagulate in a seemingly unphysical manner. This points to an imbalance in the protein-protein or protein-water interactions. One way to resolve this is to strengthen the protein-water Lennard-Jones interactions. However, it has also been suggested that dispersion interactions may have been systematically overestimated in force fields due to parameterization with a short cutoff. Here, we test this proposition by performing simulations of liquids and of proteins in solution with systematically reduced C-6 (dispersion constant in a 12-6 Lennard-Jones potential) and evaluate the properties. We find that simulations of liquids with either a dispersion correction or explicit long-range Lennard-Jones interactions need little or no correction to the dispersion constant to reproduce the experimental density. For simulations of proteins, a significant reduction in the dispersion constant is needed to reduce the coagulation, however. Because the protein- and liquid force fields share atom types, at least to some extent, another solution for the coagulation problem may be needed, either through including explicit polarization or through strengthening protein-water interactions.
机译:在蛋白质的研究中,蛋白质在拥挤条件下,发现模拟蛋白质的趋势以看似不上文的方式凝结。这指出蛋白质 - 蛋白质或蛋白水相互作用的不平衡。解决这一方法的一种方法是加强蛋白质 - 水Lennard-Jones互动。然而,还提出,由于具有短截止的参数化,可能已经系统地被系统地高估在力场中。在这里,我们通过系统地减少的C-6(在12-6 Lennard-Jones潜力中的色散常数)进行液体和溶液中的液体和蛋白质的模拟来测试该命题并评估性质。我们发现,具有色散校正或明确的远程Lennard-Jones相互作用的液体模拟需要对分散常数进行较小或没有校正以再现实验密度。对于蛋白质的仿真,需要显着的分散常数降低以减少凝固。因为蛋白质和液体力领域共享原子类型,至少在某种程度上,可能需要通过包括明确偏振或通过加强蛋白质 - 水相互作用来进行凝固问题的另一种溶液。

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