The Goldbeter–Koshland kinetics describe a steady-state solution for a 2-state biological system. In this system, the interconversion between these two states is performed by two enzymes with opposing effect. One example would be a protein Z that exists in a phosphorylated form ZP and in an unphosphorylated form Z; the corresponding kinase Y and phosphatase X interconvert the two forms. In this case we would be interested in the equilibrium concentration of the protein Z (Goldbeter–Koshland kinetics only describe equilibrium properties, thus no dynamics can be modeled). It has many applications in the description of biological systems.
The Goldbeter–Koshland kinetics is described by the Goldbeter–Koshland function:
with the constants
Graphically the function takes values between 0 and 1 and has a sigmoid behavior. The smaller the parameters J1 and J2 the steeper the function gets and the more of a switch-like behavior is observed.
Since we are looking at equilibrium properties we can write
From Michaelis–Menten kinetics we know that the rate at which ZP is dephosphorylated is and the rate at which Z is phosphorylated is . Here the KM stand for the Michaelis–Menten constant which describes how well the enzymes X and Y bind and catalyze the conversion whereas the kinetic parameters k1 and k2 denote the rate constants for the catalyzed reactions. Assuming that the total concentration of Z is constant we can additionally write that [Z]0 = [ZP] + [Z] and we thus get:
with the constants
If we thus solve the quadratic equation (1) for z we get:
Thus (3) is a solution to the initial equilibrium problem and describes the equilibrium concentration of [Z] and [ZP] as a function of the kinetic parameters of the phoshorylation and dephoshorylation reaction and the concentrations of the kinase and phosphotase. The solution is the Goldbeter–Koshland function with the constants from (2):
- Goldbeter A, Koshland DE (November 1981). "An amplified sensitivity arising from covalent modification in biological systems". Proc. Natl. Acad. Sci. U.S.A. 78 (11): 6840–4. doi:10.1073/pnas.78.11.6840. PMC 349147. PMID 6947258.
- Zoltan Szallasi, Jörg Stelling, Vipul Periwal: System Modeling in Cellular Biology. The MIT Press. p 108. ISBN 978-0-262-19548-5