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. 2006 Dec 15;3:42. doi: 10.1186/1742-4682-3-42

Table 1.

Empirical parameter ranges

Parameter x σx ex eσx MathType@MTEF@5@5@+=feaafiart1ev1aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacH8akY=wiFfYdH8Gipec8Eeeu0xXdbba9frFj0=OqFfea0dXdd9vqai=hGuQ8kuc9pgc9s8qqaq=dirpe0xb9q8qiLsFr0=vr0=vr0dc8meaabaqaciaacaGaaeqabaqabeGadaaakeaacqWGLbqzdaahaaWcbeqaaGGaciab=n8aZnaaBaaameaacqWG4baEaeqaaaaaaaa@319C@ # samples ref.
Turnover rate kcat 1.95 3.3 7.0 s-1 27.1 7559 [18]
Substrate constant kM -1.77 3.0 0.17 mM 20.1 44766 [18]
Inhibition constant kI -2.81 4.1 0.06 mM 60.3 4338 [18]
Energy constant kG -0.24 0.18 0.79 1.2 142 [23]
Equilibrium constant keq - 5.4 - 212 1309 [19]
Protein molecules/cell 7.82 1.56 2480 4.7 3868 [20]
Protein concentration El -10.23 1.56 3.6·10-5 mM 4.7 3868 [20]
Metab. concentration ci -1.97 1.94 0.14 mM 7.0 49 [24]

Typical ranges of system parameters (top) and state parameters (bottom). Different types of parameters show specific mean values and standard deviations. Energy constants were predicted from the molecule structures, all other data were obtained from experiments. Numbers of protein molecules were measured in the yeast S. cerevisiae. The symbols ⟨x⟩ and σx denote mean values and standard deviations of the natural logarithms, in data sets of different sizes ("# samples"). These values can be used to predefine a prior distribution for model parameters. The exponential values exp(⟨x⟩) and exp(σx) denote, respectively, the geometric mean and a typical uncertainty factor of the parameter type.