Puromycin-treated enzyme
The classic Puromycin treated-cell rates, fitted by nonlinear Michaelis–Menten regression.
Source: R datasets (Puromycin)
Fit Kₘ and Vₘₐₓ to your data, then draw the Michaelis–Menten plot and the Lineweaver–Burk plot.
| [S] | v | Remove row |
|---|---|---|
| Condition | n | Kₘ ± SE (ppm) | Vₘₐₓ ± SE (counts/min²) | R² | Sy.x | LB Kₘ / Vₘₐₓ |
|---|---|---|---|---|---|---|
| Treated | 12 | 0.06412 ± 0.00828195% CI: 0.04567 to 0.08257 | 212.7 ± 6.94795% CI: 197.2 to 228.2 | 0.9613 | 10.93 | 0.04841 / 195.8 |
Explore measured rates and illustrative comparisons, then load an example into the editor.
The classic Puromycin treated-cell rates, fitted by nonlinear Michaelis–Menten regression.
Source: R datasets (Puromycin)
Compare two conditions with repeated measurements.
Source: R datasets (Puromycin)
Compare three illustrative enzyme variants.
Plot v against v/[S]; the slope is −Kₘ and the y-intercept is Vₘₐₓ.
Source: R datasets (Puromycin)
Plot [S]/v against [S]; the slope is 1/Vₘₐₓ and the x-intercept is −Kₘ.
Source: R datasets (Puromycin)
Illustrative replicates include a zero substrate blank.
Enter initial rates or parameters, choose a plot and download your figure.
1Enter your data
Paste substrate concentrations and initial rates, or enter Kₘ and Vₘₐₓ.
2Choose the plot
Check the fit and show the Michaelis–Menten plot, a transformed plot, or both.
3Download the result
Save the figure or copy the results and figure legend.
The double reciprocal plot turns the Michaelis–Menten equation into a line.
1/v = (Kₘ/Vₘₐₓ) × 1/[S] + 1/Vₘₐₓ
The original double-reciprocal method was described by Lineweaver and Burk (1934).
For the treated enzyme, Kₘ ≈ 0.06412 ppm and Vₘₐₓ ≈ 212.7 counts/min². The fitted intercepts are −15.60 and 0.004702.
A Michaelis–Menten graph relates initial velocity to substrate concentration.
v = Vmax[S] / (Km + [S])
Kₘ, the Michaelis–Menten constant, is the substrate concentration at half Vₘₐₓ. The Michaelis–Menten curve approaches Vₘₐₓ as substrate increases.
See Johnson and Goody (2011) for the original paper and its translation.
This enzyme kinetics calculator fits the original rates to estimate Kₘ and Vₘₐₓ. A reciprocal transformation gives low-concentration measurements more influence. See Wilkinson (1961) for statistical estimation in enzyme kinetics.
| Method | Kₘ | Vₘₐₓ |
|---|---|---|
| Nonlinear fit | 0.06412 | 212.7 |
| Lineweaver–Burk regression | 0.04841 | 195.8 |
Compare conditions to see how inhibition changes apparent parameters.
Compare the intersection and the shifts in apparent parameters. These examples are illustrative.
| Type | Kₘ | Vₘₐₓ | Line pattern |
|---|---|---|---|
| Competitive | Increases | Unchanged | Shared y-intercept |
| Pure noncompetitive | Unchanged | Decreases | Shared x-intercept |
| Uncompetitive | Decreases | Decreases | Parallel |
| Mixed | Changes | Decreases | Intersect left of y-axis |
It plots 1/v against 1/[S]. The y-intercept is 1/Vₘₐₓ, the x-intercept is −1/Kₘ, and the slope is Kₘ/Vₘₐₓ.
Use nonlinear fitting of the original rates to estimate parameters. A Lineweaver–Burk plot can help illustrate inhibition patterns.
Taking reciprocals magnifies errors at low substrate concentration, changing the relative influence of measurements.
Vₘₐₓ is the limiting rate and Kₘ is the substrate concentration at half Vₘₐₓ.
Kₘ has the units of substrate concentration and Vₘₐₓ has the units of velocity. Reciprocal axes use reciprocal units.
Competitive inhibition produces lines sharing a y-intercept; pure noncompetitive inhibition shares an x-intercept. This tool does not classify inhibition automatically.
No. Allosteric kinetics may require a Hill model, which this tool does not fit.
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Fit your data and export a figure for your work.