Michaelis-Menten Equation Calculator

Km is a concentration, not a rate — it is where the enzyme runs at exactly half its maximum.

Clear
Reaction rate75 µmol/min75% of Vmax
Fraction of Vmax0.75
Substrate for half of Vmax0.05 mmol/Lwhich IS Km — that is what it means
Substrate for 90 % of Vmax0.45 mmol/Lnine times Km
Substrate for 99 % of Vmax4.95 mmol/Lninety-nine times Km — saturation is a long tail
Turnover number kcat5 × 10⁴ per min
Catalytic efficiency1 × 10⁶kcat divided by Km
Above Km the active sites are mostly occupied, so adding substrate buys progressively less — which is why the curve flattens rather than continuing to rise.

The formula

v = Vmax [S] / (Km + [S])

Km is a concentration, not a rate

The Michaelis constant is the substrate concentration at which the enzyme runs at half its maximum speed. That falls straight out of the equation: set [S] equal to Km and the fraction becomes Km/2Km, which is a half. It is measured in molar, and a low Km means the enzyme saturates at low substrate — loosely, that it binds tightly.

Saturation is the whole shape

At low substrate the rate rises almost linearly, because nearly every enzyme molecule is free and waiting. At high substrate it flattens, because every active site is already occupied and adding more substrate changes nothing. Reaching 90 % of Vmax takes nine times Km; reaching 99 % takes ninety-nine times. The last few per cent are effectively unreachable.

Catalytic perfection

Dividing the turnover number by Km gives the catalytic efficiency, and it has a ceiling: an enzyme cannot process a substrate faster than the substrate arrives. That diffusion limit is around 10⁸ to 10⁹ M⁻¹s⁻¹, and a handful of enzymes — catalase, carbonic anhydrase, triose phosphate isomerase — sit at it. They cannot be improved by any further evolution, because the limit is physics rather than chemistry.

Where these models stop

Michaelis-Menten assumes a single substrate and a steady state; Langmuir assumes one layer on identical sites with no interaction between them; Stokes-Einstein assumes a hard sphere much larger than the solvent molecules around it. Each is an idealisation that happens to describe real systems well over a useful range, and each fails predictably outside it. Knowing which assumption a number rests on is usually more valuable than the number.