Michaelis-Menten Kinetics
Model enzyme kinetics with the Michaelis-Menten equation. Compare inhibition effects.
Enzymatic saturation kinetics and state dynamics 🖖
Michaelis-Menten kinetics describe the rate of enzymatic reactions by analyzing the formation of an intermediate enzyme-substrate complex. The reaction rate is given by v = (V_max * [S]) / (K_m + [S]), where K_m is the Michaelis constant representing the substrate concentration at which the rate is half of V_max. This model assumes a steady-state approximation: the concentration of the intermediate complex remains constant over the time frame of measurement, reflecting the saturation of enzyme active sites.
Straightening the curve to read it 🖖
The tool's Lineweaver-Burk plot flips the equation into 1/v = (K_m/V_max)(1/[S]) + 1/V_max, turning the bending saturation curve into a straight line. Before curve-fitting software existed, this let scientists extend the line with a ruler and read the constants off directly: the y-intercept gives 1/V_max and the x-intercept gives -1/K_m. The catch is that low [S] points, with their huge reciprocals, dominate the fit and exaggerate measurement error.
The same curve hides everywhere 🖖
This rectangular hyperbola is not unique to enzymes. The identical shape appears as the Langmuir adsorption isotherm for gas molecules sticking to a surface, as Monod's equation for microbial growth versus nutrient supply, and as the Hill equation for oxygen loading onto hemoglobin. Any system where a fixed number of binding sites gradually saturates produces this shape, so fitting V_max and K_m really means finding a maximum capacity and a half-saturation point.
Example problems
- Typical - Typical
- High affinity - High affinity
- Competitive inh. - Competitive inh.
- Non-competitive inh. - Non-competitive inh.