MixedModelInhibMixedModelInhib-FitFunc
Function
![y=\frac{\frac{V_{\text{max}}x}{1+I_c/(Alpha \cdot K_i)}}{x+\frac{K_m(1+I_c/K_i)}{1+I_c/(Alpha \cdot K_i)}} y=\frac{\frac{V_{\text{max}}x}{1+I_c/(Alpha \cdot K_i)}}{x+\frac{K_m(1+I_c/K_i)}{1+I_c/(Alpha \cdot K_i)}}](//d2mvzyuse3lwjc.cloudfront.net/doc/de/UserGuide/images/MixedModelInhib/math-55743ffd6b46120321bbefd35cd040ea.png)
Brief Description
A general equation including competitive, uncompetitive and noncompetitive inhibition as special cases.
Sample Curve
![CFF MixedModelInhib.png](//d2mvzyuse3lwjc.cloudfront.net/doc/de/UserGuide/images/MixedModelInhib/CFF_MixedModelInhib.png)
Parameters
Number: 5 Names: Vmax, Km, Ki, Alpha, Ic Meanings: Vmax = Maximum enzyme velocity, Km = Michaelis-Menten constant, Ki = Inhibition constant, Alpha = Constant that determines mechanism, Ic = Inhibitor concentration constant Lower Bounds: Vmax > 0.0, Km > 0.0, Ki > 0.0, Alpha > 0.0 Upper Bounds: none Note: This fitting function is for global fitting. When using it, Vmax, Km, Ki, and Alpha are shared, while Ic is a fixed constant. If Alpha=1, the mixed model is same as a noncompetitive inhibition model. If Alpha is very large, the mixed model is similar to a competitive inhibition model. If Alpha is very small, the mixed model is similar to an uncompetitive inhibition model.
Script Access
nlf_MixedModelInhib(x,Vmax,Km,Ki,Alpha,Ic)
Function File
FITFUNC\MixedModelInhib.FDF
Category
Enzyme Kinetics
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