A sigmoid curve analysis method for pharmacological experimental results

Abstract

Sigmoid curve (S-curve) is a basic exhibition form of dose-effect relationship in drug reaction. To analyze S-curve is an important method to well-understand drug reaction performance (DRP). The present study introduced an S-curve analysis method for pharmacological experiment results (PERs), the core of which was to solve the problem of the linear fitting of S-curve equation (S-Eq). The linear fitting Eqs of S-Eq were established with 100% fitness. Meanwhile, mathematical and pharmacological meaning of S-curve constants, ED50 and maximum effect (ymax) were clarified. The same group of experimental data was analyzed by the present method and four traditional analysis methods. The result indicates that the experimental parameters and their values displaying DRP got by different methods are different. The S-curve analysis method is closer to real drug reaction law.