Laszlo J A
Northern Regional Research Center, US Department of Agriculture, Peoria, IL 61604.
Comput Appl Biosci. 1987 Nov;3(4):351-7. doi: 10.1093/bioinformatics/3.4.351.
Computational methods for the estimation of stoichiometric association constants for multiple-ligand binding systems are currently based on non-linear least-squares regression analysis. These computational methods require sophisticated, iterative algorithms to assure convergence to a solution, as well as initial parameter and error estimates. A simple procedure, called lambda-invariance testing (LIT), was developed that provides a single-pass (non-iterative) estimation of stoichiometric association constants. The LIT method was applied to simulated binding data containing Gaussian error and to real data drawn from the literature. This method provided parameter estimates essentially equivalent to those obtained by least-squares regression analysis, with no initial parameter or error estimates required.
用于估算多配体结合系统化学计量学缔合常数的计算方法目前基于非线性最小二乘回归分析。这些计算方法需要复杂的迭代算法来确保收敛到一个解,以及初始参数和误差估计。开发了一种称为λ不变性检验(LIT)的简单程序,它可以对化学计量学缔合常数进行单步(非迭代)估计。LIT方法应用于包含高斯误差的模拟结合数据以及从文献中获取的真实数据。该方法提供的参数估计与通过最小二乘回归分析获得的估计基本等效,且无需初始参数或误差估计。