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酶的亚位点定位。解聚酶计算机建模。

Subsite mapping of enzymes. Depolymerase computer modelling.

作者信息

Allen J D, Thoma J A

出版信息

Biochem J. 1976 Oct 1;159(1):105-20. doi: 10.1042/bj1590105.

Abstract

We have developed a depolymerase computer model that uses a minimization routine. The model is designed so that, given experimental bond-cleavage frequencies for oligomeric substrates and experimental Michaelis parameters as a function of substrate chain length, the optimum subsite map is generated. The minimized sum of the weighted-squared residuals of the experimental and calculated data is used as a criterion of the goodness-of-fit for the optimized subsite map. The application of the minimization procedure to subsite mapping is explored through the use of simulated data. A procedure is developed whereby the minimization model can be used to determine the number of subsites in the enzymic binding region and to locate the position of the catalytic amino acids among these subsites. The degree of propagation of experimental variance into the subsite-binding energies is estimated. The question of whether hydrolytic rate coefficients are constant or a function of the number of filled subsites is examined.

摘要

我们开发了一种使用最小化程序的解聚酶计算机模型。该模型的设计目的是,在给定寡聚底物的实验性键断裂频率以及作为底物链长度函数的实验性米氏参数的情况下,生成最佳的亚位点图谱。实验数据和计算数据的加权平方残差的最小化总和被用作优化亚位点图谱拟合优度的标准。通过使用模拟数据探索了最小化程序在亚位点映射中的应用。开发了一种程序,通过该程序最小化模型可用于确定酶结合区域中亚位点的数量,并确定这些亚位点中催化氨基酸的位置。估计了实验方差传播到亚位点结合能中的程度。研究了水解速率系数是恒定的还是填充亚位点数量的函数这一问题。

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本文引用的文献

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A survey of non-linear optimization techniques.
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