Gadagkar Sudhindra R, Call Gerald B
Department of Biomedical Sciences, College of Health Sciences, Midwestern University, Glendale, AZ 85308, USA.
Department of Pharmacology, Arizona College of Osteopathic Medicine, Midwestern University, Glendale, AZ 85308, USA.
J Pharmacol Toxicol Methods. 2015 Jan-Feb;71:68-76. doi: 10.1016/j.vascn.2014.08.006. Epub 2014 Aug 23.
Many biological response curves commonly assume a sigmoidal shape that can be approximated well by means of the 4-parameter nonlinear logistic equation, also called the Hill equation. However, estimation of the Hill equation parameters requires access to commercial software or the ability to write computer code. Here we present two user-friendly and freely available computer programs to fit the Hill equation - a Solver-based Microsoft Excel template and a stand-alone GUI-based "point and click" program, called HEPB.
Both computer programs use the iterative method to estimate two of the Hill equation parameters (EC50 and the Hill slope), while constraining the values of the other two parameters (the minimum and maximum asymptotes of the response variable) to fit the Hill equation to the data. In addition, HEPB draws the prediction band at a user-defined confidence level, and determines the EC50 value for each of the limits of this band to give boundary values that help objectively delineate sensitive, normal and resistant responses to the drug being tested.
Both programs were tested by analyzing twelve datasets that varied widely in data values, sample size and slope, and were found to yield estimates of the Hill equation parameters that were essentially identical to those provided by commercial software such as GraphPad Prism and nls, the statistical package in the programming language R.
The Excel template provides a means to estimate the parameters of the Hill equation and plot the regression line in a familiar Microsoft Office environment. HEPB, in addition to providing the above results, also computes the prediction band for the data at a user-defined level of confidence, and determines objective cut-off values to distinguish among response types (sensitive, normal and resistant). Both programs are found to yield estimated values that are essentially the same as those from standard software such as GraphPad Prism and the R-based nls. Furthermore, HEPB also has the option to simulate 500 response values based on the range of values of the dose variable in the original data and the fit of the Hill equation to that data.
许多生物反应曲线通常呈现S形,可用四参数非线性逻辑方程(也称为希尔方程)很好地近似。然而,估计希尔方程参数需要使用商业软件或具备编写计算机代码的能力。在此,我们展示两个用户友好且免费的用于拟合希尔方程的计算机程序——一个基于求解器的Microsoft Excel模板和一个独立的基于图形用户界面(GUI)的“点击式”程序,称为HEPB。
两个计算机程序均使用迭代方法估计希尔方程的两个参数(半数有效浓度(EC50)和希尔斜率),同时约束另外两个参数(响应变量的最小和最大渐近线)的值,以使希尔方程拟合数据。此外,HEPB会在用户定义的置信水平下绘制预测带,并确定该带每个界限的EC50值,以给出有助于客观界定对受试药物的敏感、正常和抗性反应的边界值。
通过分析十二个在数据值、样本大小和斜率方面差异很大的数据集对这两个程序进行了测试,发现它们得出的希尔方程参数估计值与商业软件(如GraphPad Prism)以及编程语言R中的统计包nls提供的估计值基本相同。
Excel模板提供了一种在熟悉的Microsoft Office环境中估计希尔方程参数并绘制回归线的方法。HEPB除了提供上述结果外,还会在用户定义的置信水平下计算数据的预测带,并确定用于区分反应类型(敏感、正常和抗性)的客观临界值。发现这两个程序得出的估计值与GraphPad Prism和基于R的nls等标准软件的估计值基本相同。此外,HEPB还可以选择根据原始数据中剂量变量的值范围以及希尔方程对该数据的拟合情况模拟500个响应值。