Modeling the Differences in Biochemical Capabilities of Pseudomonas Species by Flux Balance Analysis: How Good Are Genome-Scale Metabolic Networks at Predicting the Differences?

Table 1

Biological data and in silico results for arginine and succinate utilization of the bacteria and the models. Biological data represent doubling times and in silico results represent computational growth rates.

Additive(s) to minimal medium	P. aeruginosa		P. putida		P. fluorescens
	In silico data (mmol·gDW^−1·hr^−1)	Biological data (min)	In silico data (mmol·gDW^−1·hr^−1)	Biological data (min)	In silico data (mmol·gDW^−1·hr^−1)	Biological data (min)
Succinate + NH4	0.397	60	0.401	54	0.933	66
Arginine	0.627	63	0.633	60	1.038	146
Succinate + arginine	0.933	46	1.057	52	2.076	48
Ornithine	0.606	240	0.616	90	1.038	420
Succinate + ornithine	1.020	86	1.034	56	2.076	390