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首页> 外文期刊>Macromolecular bioscience >Methods and tools for the prediction of hydrodynamic coefficients and other solution properties of flexible macromolecules in solution. A tutorial minireview
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Methods and tools for the prediction of hydrodynamic coefficients and other solution properties of flexible macromolecules in solution. A tutorial minireview

机译:预测溶液中柔性高分子的流体力学系数和其他溶液性质的方法和工具。教程minireview

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The calculation of solution properties of flexible macromolecules and other nanoparticles requires, in addition to the hydrodynamic formalisms needed for the sedimentation coefficient and other transport properties, the consideration of the conformational statistics and internal dynamics. The latter aspects can be handled with simulation methods like Monte Carlo and Brownian dynamics. An example of a Monte Carlo simulation for a model specific of DNA is illustrated with results for the several solution properties over an extremely wide range of molecular weight. The convenience of having computational tools of a quite general applicability has prompted us to implement the simulation and hydrodynamic treatments in software packages, MONTEHYDRO for Monte Carlo, and SIMUFLEX for Brownian dynamics which - with a scope similar to the HYDRO suite for rigid particles - can handle a variety of situations. As an application of the new methodology to a yet unclear problem in analytical ultracentrifugation, in a simple application of the SIMUFLEX software, we present a simulation of the socalled anomalous sedimentation of very long DNA molecules, obtaining results for the experimentally observable rotor-speed-dependence of the sedimentation coefficient.
机译:挠性大分子和其他纳米粒子的溶液性质的计算,除了需要沉降系数和其他传输性质的流体力学形式外,还需要考虑构象统计和内部动力学。可以使用诸如蒙特卡洛(Monte Carlo)和布朗动力学(Brownian dynamics)之类的仿真方法来处理后一方面。举例说明了DNA特定模型的蒙特卡罗模拟的例子,并给出了在非常宽的分子量范围内几种溶液性质的结果。使用具有相当普遍适用性的计算工具的便利性促使我们在软件包中实现模拟和流体动力学处理,MONTEHYDRO用于Monte Carlo,SIMUFLEX用于Brownian动力学,其范围类似于用于刚性粒子的HYDRO套件-可以处理各种情况。作为将新方法应用于分析超速离心中一个尚不清楚的问题的方法,我们通过简单应用SIMUFLEX软件,对非常长的DNA分子的所谓异常沉降进行了模拟,获得了实验观察到的转子转速的结果。沉降系数的依赖性。

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