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一种以分子为中心的方法,用于加速包含许多柔性生物分子的布朗动力学模拟中的流体动力学相互作用计算。

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

作者信息

Elcock Adrian H

机构信息

Department of Biochemistry, University of Iowa, Iowa City, IA 52242, USA

出版信息

J Chem Theory Comput. 2013 Jul 9;9(7):3224-3239. doi: 10.1021/ct400240w.

Abstract

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.

摘要

如果要使生物大分子在隐式处理溶剂的模拟中表现出正确的平动和转动扩散,纳入流体动力学相互作用(HIs)至关重要。本工作描述了一种简单方法的开发与测试,该方法旨在使包含大量柔性大分子的系统在粗粒度布朗动力学模拟中能更快速地计算HIs。该方法将分子内HIs的完整处理与分子间HIs的近似处理相结合,后者假定分子为有效球形;所有HIs均在Rotne-Prager-Yamakawa理论水平上计算。当与Fixman的切比雪夫多项式方法结合用于计算相关随机位移时,所提出的方法提供了一种易于编程且速度足够快的方法,使得在大规模模拟中纳入HIs在计算上可行。对丙酮酸脱氢酶(PDH)E2复合物的非常粗粒度模型以及ParM寡聚物(大小从1到20个单体不等)进行的测试计算表明,该方法能令人惊讶地很好重现更完整的HIs模拟中所见的平动扩散行为;该方法在捕捉转动扩散方面表现稍差,但其差异随着模拟组件尺寸的增加而减小。对两个四聚体蛋白质模型的残基水平模型进行的模拟表明,当在模拟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个粗粒度PDH分子的系统进行的测试模拟表明,所提出的方法很快就比通过对完整扩散张量进行Cholesky分解来获得相关随机位移的传统BD方法更高效。

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