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 2

Growth rates of iMO1086, iJP962, and iSB1139 on fructose and succinate as the sole carbon sources. Biological data represent doubling times and in silico results represent computational growth rates.

Substrate	P. aeruginosa		P. putida		P. putida (edd ^−)		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)	In silico data (mmol·gDW^−1·hr^−1)	Biological data (min)
Fructose	1.129	455	1.358	235	1.358	380	3.246	204
Succinate	0.980	73	0.980	53	0.980	52	2.296	59