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A simplified representation of anisotropic charge distributions within proteins

机译:蛋白质内各向异性电荷分布的简化表示

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Effective coarse-grained representations of protein-protein interaction potentials are vital in the modeling of large scale systems. We develop a method to fit an arbitrary number of effective charges to approximate the electrostatic potential of a protein at a given pH in an ionic solution. We find that the effective charges can reproduce an input potential calculated from a high resolution Poisson-Boltzmann calculation. Since the effective charges used in this model are not constrained to the locations of the original charged groups, the extra degrees of freedom allows us to reproduce the field anisotropy with fewer charges. The fitting procedure uses a number of approximations in the charge magnitudes, initial conditions, and multipoles to speed convergence. The most significant gains are found by fitting the multipole moments of the effective charge potential to the moments of the original field. We show that the Yukawa potential is not only sufficient as a pairwise summation in reproducing the potential, but comes naturally from the linearized expansion of the Poisson-Boltzmann equation. We compute interaction energies and find excellent agreement to the original potential. From the effective charge model we compute the electrostatic contribution to the second virial coefficient.
机译:蛋白质-蛋白质相互作用潜能的有效粗粒度表示对于大型系统的建模至关重要。我们开发了一种方法来拟合任意数量的有效电荷,以近似于离子溶液中给定pH值下蛋白质的静电势。我们发现有效电荷可以重现高分辨率Poisson-Boltzmann计算得出的输入电势。由于在该模型中使用的有效电荷不受限于原始带电组的位置,因此额外的自由度使我们能够以较少的电荷重现场各向异性。拟合过程使用电荷量,初始条件和多极点的多个近似值来加快收敛速度​​。通过将有效电荷电势的多极矩与原始场的矩拟合,可以找到最显着的增益。我们表明,汤川势不仅足以重现势中的成对求和,而且自然地来自于Poisson-Boltzmann方程的线性扩展。我们计算相互作用能并找到与原始电位的极佳一致性。根据有效电荷模型,我们计算出静电对第二维里系数的贡献。

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