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通过沉降速度实验和浓度分布的直接拟合来测定分子量。

Molecular mass determination by sedimentation velocity experiments and direct fitting of the concentration profiles.

作者信息

Behlke J, Ristau O

机构信息

Max Delbrück Center for Molecular Medicine, Berlin, Germany.

出版信息

Biophys J. 1997 Jan;72(1):428-34. doi: 10.1016/S0006-3495(97)78683-1.

Abstract

A new method for the direct molecular mass determination from sedimentation velocity experiments is presented. It is based on a nonlinear least squares fitting procedure of the concentration profiles and simultaneous estimation of the sedimentation and diffusion coefficients using approximate solutions of the Lamm equation. A computer program, LAMM, was written by using five different model functions derived by Fujita (1962, 1975) to describe the sedimentation of macromolecules during centrifugation. To compare the usefulness of these equations for the analysis of hydrodynamic results, the approach was tested on data sets of Claverie simulations as well as experimental curves of some proteins. A modification for one of the model functions is suggested, leading to more reliable sedimentation and diffusion coefficients estimated by the fitting procedure. The method seems useful for the rapid molecular mass determination of proteins larger than 10 kDa. One of the equations of the Archibald type is also suitable for compounds of low molecular mass, probably less than 10 kDa, because this model function requires neither the plateau region nor a meniscus free of solute.

摘要

本文提出了一种通过沉降速度实验直接测定分子质量的新方法。该方法基于浓度分布的非线性最小二乘拟合程序,并使用Lamm方程的近似解同时估算沉降系数和扩散系数。利用藤田(1962年、1975年)推导的五个不同模型函数编写了一个名为LAMM的计算机程序,以描述大分子在离心过程中的沉降。为了比较这些方程在分析流体动力学结果方面的实用性,该方法在Claverie模拟数据集以及一些蛋白质的实验曲线上进行了测试。建议对其中一个模型函数进行修改,以使拟合程序估算出的沉降系数和扩散系数更可靠。该方法似乎适用于快速测定大于10 kDa的蛋白质的分子质量。阿奇博尔德类型的方程之一也适用于低分子质量的化合物,可能小于10 kDa,因为该模型函数既不需要平稳区,也不需要无溶质的弯月面。

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An approximate solution to the Lamm equation.拉姆方程的近似解。
Biophys Chem. 1979 Sep;10(2):187-90. doi: 10.1016/0301-4622(79)85039-5.
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Molecular weights from approach-to-sedimentation equilibrium data using nonlinear regression analysis.
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