Structural Comparison, Substrate Specificity, and Inhibitor Binding of AGPase Small Subunit from Monocot and Dicot: Present Insight and Future Potential

Table 5

Model quality assessment scores.

AGPase small subunit	Ramachandran plot (In %)				Overall -factor	Errat	Verify 3D	MetaMQAP; GDT/RMSD (Å)	RMSD (Å)
	Most favoured regions	Additional allowed regions	Generously allowed regions	Disallowed regions
MONOCOT
Oryza sativa ssp. Japonica	91.1	8.4	0.5	0.0	−0.06	77.60	98.65	83.880/1.919	C; backbone = 0.29
Hordeum vulgare	91.6	7.8	0.3	0.3	−0.06	82.03	98.65	84.615/1.537	Cα = 0.40; backbone = 0.42
Triticum aestivum	91.4	7.8	0.5	0.3	−0.10	79.72	100.00	84.842/1.583	Cα = 0.50; backbone = 0.51
DICOT
Arabidopsis thaliana	90.4	9.1	0.3	0.3	−0.07	82.48	98.87	83.371/1.857	Cα = 0.28; backbone = 0.32
Solanum lycopersicum	92.5	7.3	0.0	0.3	−0.05	78.57	99.55	84.276/1.660	Cα = 0.23; backbone = 0.28
Beta vulgaris	92.2	7.0	0.5	0.3	−0.14	75.83	95.59	80.291/1.926	Cα = 0.45; backbone = 0.51
Vicia faba1	91.4	8.1	0.3	0.3	−0.06	85.48	97.74	83.088/1.757	Cα = 0.23; backbone = 0.29
Vicia faba2	91.1	8.3	0.0	0.5	−0.03	85.55	99.77	83.880/1.804	Cα = 0.19; backbone = 0.25
Cicer arietinum1	91.4	8.1	0.0	0.5	−0.05	82.16	97.07	83.201/1.778	Cα = 0.25; backbone = 0.31
Cicer arietinum2	91.2	8.6	0.0	0.3	−0.05	83.26	99.77	83.258/1.801	Cα = 0.21; backbone = 0.25
Brassica napus	90.1	8.8	0.5	0.5	−0.07	85.48	98.42	83.937/1.724	Cα = 0.31; backbone = 0.38