Quantifying the metabolic capabilities of engineered Zymomonas mobilis using linear programming analysis

Table 2 Maximization of Biosynthetic Precursor Production for glucose or xylose substrate cases.

		G6P (6)	F6P (6)	RI5P (5)	E4P (4)	GAP (3)	G3P (3)	PEP (3)	PYR (3)	AcCOA (2)	OAA (4)	AKG (5)	SucCoA (4)
*Glc*	Yield	0.921	0.921	1	1	1	1	1	1.3	1.3	1	0.6	1.645
	C Conversion	92.1%	92.1%	83.3%	66.67%	50%	50%	50%	65%	43.3%	66.67%	50%	110%
	ATP dual price	-0.079	-0.079	0	0	0	0	0	0.3	0.3	0	0.2	-0.097
	Constrained by	Energy	Energy	Stoich	Stoich	Stoich	Stoich	Stoich	Energy	Energy +Stoich	Stoich	Energy+ Stoich	None
*Xylose*	Yield	0.667	0.667	0.9	1	1	1	1	1.033	1.033	1	0.511	1.387
	C Conversion	80%	80%	90%	80%	60%	60%	60%	62%	41.3%	80%	51.1%	111%
	ATP dual price	0	0	-0.1	0	0	0	0	0.3	0.3	0	0.2	-0.097
	Constrained by	Stoich	Stoich	Energy	Stoich	Stoich	Stoich	Stoihc	Energy	Energy +Stoich	Stoich	Energy+Stoich	None

The table depicts the maximum production rate of each precursor (yield), the C conversion, the ATP dual price, and the factor (energy or stoichiometry or both) that constrains higher precursor yield (see Materials and Methods). In parenthesis under the abbreviation of each precursor, the number of its carbon atoms is depicted.

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