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Molecular Dynamics Approach to Relaxation and Aggregation of Polymer Chains

机译:高分子链松弛和聚集的分子动力学方法

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We have used molecular dynamics to simulate various systems of polymer chains and Lennard-Jones molecules; the neighboring monomers along a polymer chain are connected by rigid bonds or spring of strength kspring. We find that the velocity distributions of monomers in a wide range of simulation time can be well described by Tsallis q-statistics [C. Tsallis, J. Stat. Phys. 52 (1988), 479] (q ≥ 1) and a single scaling function; the value of q is related to the conformation constraining potential, the interactions with background fluid, the destruction of chain homogeneity or the value of k_(spring); when q → 1, the velocity distribution of monomers becomes Maxwell-Boltzmann distribution. We also find that the polymer chains tend to aggregate as neighboring monomers of a polymer chain have small or zero bending-angle and torsion-angle dependent potentials. The implication of our results for the aggregation of proteins is discussed.
机译:我们已经使用分子动力学来模拟聚合物链和Lennard-Jones分子的各种系统。沿着聚合物链的相邻单体通过刚性键或强度弹性弹簧连接。我们发现,在很宽的模拟时间内,单体的速度分布可以由Tsallis q-statistics [C. Tsallis,J. Stat。物理52(1988),479](q≥1)和单个缩放函数; q的值与构象约束力,与背景流体的相互作用,链均一性的破坏或k_(spring)的值有关;当q→1时,单体的速度分布变为Maxwell-Boltzmann分布。我们还发现,随着聚合物链的相邻单体具有小的或零的依赖于弯曲角和扭转角的电势,聚合物链趋于聚集。讨论了我们的结果对于蛋白质聚集的意义。

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