# Team:DTU-Denmark/Kinetic Model

## Kinetic model of the Pathway

### Summary

In order to determine the practicality of our solution, we are applying kinetic modeling to investigate how much time our engeneered E. coli cells will need to convert a certain amount of ammonia to nitrous oxide. For ammonia concentrations typically encountered in wastewater modelling shows that our transformed E. coli cells will be able to do this within minuets.

### Methods

The reactions of the pathway we are trying to integrate in E. coli are:

The iGEM team from Taipei in 2012 was using Nir and Nos in their project as well and did some kinetic modeling based on literature research. To describe product formation by the enzymes they used the Michaelis-Menten approach:

Some of the necessary parameters can be found in literature, they are listed in Table 1.

It is necessary to know or estimate the enzyme concentration if kcat values are used. Based on a paper we found that gives typical protein concentrations in E. coli [4] we chose to use four different enzyme concentrations in our model: 100, 500, 1000 and 100 000 enzymes per cell corresponding to low, medium, high and very high concentrations of enzyme.

To be consistent in units we converted the vmax value of AMO and HAO to a kcat value in the following way: In [5] the amount of HAO in cell extract is given as 2.6% so for our conversion we assume 2% of the protein mass corresponds to AMO and another 2% correspond to HAO, summing up to 4%. This leads to a value of 39.75μmol min−1 mg of enzyme−1 . The molecular weight of AMO is given in [6] as 283 kDa and the molecular weight of HAO is given in [5] as 189 kDa. Summing those numbers leads to a molecular weight of 472 kDa corresponding to 7.838 · 10−16 mg. With this number we convert the vmax to 3.116 · 10−14 μmol min−1 . Then using the Avogadro number we derive a kcat value of 18765 min−1.

We also need to know how much ammonia the water we want to treat will contain. The ammonia concentration in different types of waste water is given in [7] as 1 mg/L in aquatic cultures, 10 mg/L for municipal waste water and more than 100 mg/L for industrial waste water. So the concentrations we want to look at in our model are: 1 mg/L (58.72μM), 10 mg/L (587.2μM), 100 mg/L(5.872 mM) and 500 mg/L (29.358 mM) ammonia.

The equations of the two models for Mutant 1 and Mutant 2 are:

The modeling was done in MATLAB using the Systems Biology Toolbox [8] and the scripts are uploaded in the section scripts below.

### Results and Discussion

Results are shown in Figures 1-2.


Figure 1: Kinetic modeling of Mutant 1. Nitrite concentration over time based on kinetic parameters found in literature and for different enzyme and substrate (here NO2) concentrations.

Figure 2: Kinetic modeling of Mutant 2. Nitrous oxide concentration over time based on kinetic parameters found in literature and for different enzyme and substrate (here NO2) concentrations.

## References

[1] WK Keener and DJ Arp. Kinetic studies of ammonia monooxygenase inhibition in Nitrosomonas europaea by hydrocarbons and halogenated hydrocarbons in an optimized whole-cell assay. Applied and Environmental Microbiology, 59(8): 2501–2510, 1993.

[2] Serena Rinaldo. Biology of the Nitrogen Cycle. Francesca Cutruzzola, 2007 (37-55).

[3] SW Snyder and TC Hollocher. Purification and some characteristics of nitrous oxide reductase from paracoccus denitrificans. Journal of Biological Chemistry, 262: 6515–6525, 1987.

[4] Y Ishihama, T Schmidt, J Rappsilber, M Mann, FU Hartl, MJ Kerner, and D Frishman. Protein abundance profiling of the escherichia coli cytosol. BMC genomics, 9, 2008.

[5] AB Hooper, PC Maxwell, and KR Terry. Hydroxylamine oxidoreductase from nitrosomonas: Absorption spectra and content of heme and metal. Biochemistry, 17:2984–2989, 1978.

[6] S Gilch, O Meyer, and I Schmidt. A soluble form of ammonia monooxygenase in nitrosomonas europaea. Biological Chemistry, 390(9):863–873, 2009.

[7] T.C. Jorgensen and L.R. Weatherley. Ammonia removal from wastewater by ion exchange in the presence of organic contaminants. Water Research, 37:723–1728, 2003.

[8] Systems biology toolbox for matlab: A computational platform for research in systems biology. Bioinformatics, 22(4):514–515, 2006.