Simulate Michaelis-Menten kinetics with Lineweaver-Burk plots. Explore competitive, uncompetitive, and noncompetitive inhibition.
See how substrate concentration changes an enzyme's initial reaction rate under Michaelis-Menten kinetics, then compare the saturation curve with its Lineweaver-Burk reciprocal form. The simulator also shows the characteristic effects of competitive, uncompetitive, and noncompetitive inhibition on apparent Km, apparent Vmax, slopes, and intercepts. The important surprise is that the reciprocal plot visually magnifies behavior at low substrate concentrations. A small change or measurement error near zero can therefore look much larger on the Lineweaver-Burk plot than on the original rate curve.
For an uninhibited reaction, the simulated initial rate follows v = Vmax[S] / (Km + [S]). The rate equals half of Vmax when [S] equals Km and approaches Vmax asymptotically as substrate concentration increases. The plotted curve therefore shows both the low-substrate response and the gradual saturation of the enzyme at high substrate concentrations.
The selected inhibition model changes the apparent kinetic parameters before the curves are drawn. Ideal competitive inhibition increases apparent Km without changing Vmax. Ideal uncompetitive inhibition reduces both apparent Km and Vmax by the same factor. Ideal pure noncompetitive inhibition reduces Vmax while leaving Km unchanged. The Lineweaver-Burk view plots 1/v against 1/[S], making these changes visible through line slopes and intercepts.
In the ideal competitive model, substrate and inhibitor compete in a way that makes more substrate necessary to reach a given fraction of the maximum rate. This raises the apparent Km. At sufficiently high substrate concentration, substrate can dominate the competition, so the curve still approaches the same Vmax. This conclusion applies to the ideal model, not automatically to every experimental inhibitor.
No. Ideal competitive lines share a y-intercept, ideal uncompetitive lines are parallel, and ideal pure noncompetitive lines share an x-intercept. Those patterns are useful for learning and preliminary comparison, but noisy measurements, mixed inhibition, and model violations can obscure them. Mechanism assignment normally requires suitable experimental design and fitting the untransformed rate data, not visual inspection alone.
The behavioral notes were checked against the browser implementation. Standards and primary references below define the relevant format, formula, or platform behavior.
Calculate percentages, percentage change, and what percent one number is of another with step-by-step breakdowns.
Calculate tips and split bills between multiple people with customizable tip percentages and rounding options.
Calculate monthly payments, total interest, and generate amortization schedules for loans and mortgages.
Calculate Body Mass Index from height and weight with category classification and healthy range guidance.
Calculate sale prices, savings amounts, and final costs after single or stacked percentage discounts.
Compute mean, median, mode, standard deviation, variance, and other descriptive statistics from a data set.