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A molecule-centered method for accelerating the calculation of hydrodynamic interactions in Brownian dynamics simulations containing many flexible biomolecules

机译:包含许多柔性生物分子的布朗动力学模拟中以分子为中心的加速流体动力学相互作用计算的方法

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摘要

Inclusion of hydrodynamic interactions (HIs) is essential in simulations of biological macromolecules that treat the solvent implicitly if the macromolecules are to exhibit correct translational and rotational diffusion. The present work describes the development and testing of a simple approach aimed at allowing more rapid computation of HIs in coarse-grained Brownian dynamics simulations of systems that contain large numbers of flexible macromolecules. The method combines a complete treatment of intramolecular HIs with an approximate treatment of the intermolecular HIs which assumes that the molecules are effectively spherical; all of the HIs are calculated at the Rotne-Prager-Yamakawa level of theory. When combined with Fixman’s Chebyshev polynomial method for calculating correlated random displacements, the proposed method provides an approach that is simple to program but sufficiently fast that it makes it computationally viable to include HIs in large-scale simulations. Test calculations performed on very coarse-grained models of the pyruvate dehydrogenase (PDH) E2 complex and on oligomers of ParM (ranging in size from 1 to 20 monomers) indicate that the method reproduces the translational diffusion behavior seen in more complete HI simulations surprisingly well; the method performs less well at capturing rotational diffusion but its discrepancies diminish with increasing size of the simulated assembly. Simulations of residue-level models of two tetrameric protein models demonstrate that the method also works well when more structurally detailed models are used in the simulations. Finally, test simulations of systems containing up to 1024 coarse-grained PDH molecules indicate that the proposed method rapidly becomes more efficient than the conventional BD approach in which correlated random displacements are obtained via a Cholesky decomposition of the complete diffusion tensor.
机译:如果大分子要表现出正确的平移和旋转扩散,则包含流体动力学相互作用(HIs)对于隐式处理溶剂的生物大分子的模拟至关重要。本工作描述了一种简单方法的开发和测试,该方法旨在允许在包含大量柔性大分子的系统的粗粒度布朗动力学仿真中更快地计算HI。该方法结合了分子内HI的完整处理和分子间HI的近似处理,假定分子是有效球形的。所有HI都是在Rotne-Prager-Yamakawa理论水平上计算的。当与Fixman的Chebyshev多项式方法相结合来计算相关的随机位移时,所提出的方法提供了一种易于编程但速度足够快的方法,使得在大规模模拟中将HI包括在内具有计算可行性。对丙酮酸脱氢酶(PDH)E2复合物的非常粗糙的模型和ParM的寡聚体(大小从1到20个单体不等)进行的测试计算表明,该方法可再现更完整的HI模拟中所见的翻译扩散行为;该方法在捕获旋转扩散方面的性能较差,但随着模拟组件尺寸的增加,其差异会减小。两个四聚体蛋白质模型的残基水平模型的仿真表明,当在仿真中使用结构更详细的模型时,该方法也能很好地工作。最后,对包含多达1024个粗粒PDH分子的系统的测试仿真表明,该方法比常规BD方法迅速变得更加高效,在传统BD方法中,通过完整扩散张量的Cholesky分解获得相关的随机位移。

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    Adrian H. Elcock;

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  • 年(卷),期 -1(9),7
  • 年度 -1
  • 页码 3224–3239
  • 总页数 27
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