TABLE 3A.

Statistics for the regression of the optimization models for APOBEC1: No ACF regression model

Variable	Coefficient	STD error	T	p (2 tail)
Constant	6.9	15.7	0.44	0.6600
PH	23	2.25	10.43	0.10E-14
D	0.17	0.13	1.34	0.182
T	−6.8	1.09	−6.22	0.36E-08
I	55	34.9	1.58	0.115
SCAL	−6.2	0.78	−7.92	0.26E-12
RNA_2	−1.5	0.50	−3.04	0.0027
T*RNA_2	0.049	0.017	2.97	0.0034
PH*PH	−1.5	0.16	−9.66	0.10E-14
D*D	−0.0096	0.0058	−1.66	0.0992
T*T	0.18	0.029	6.23	0.34E-08
I*I	−310	148.4	−2.09	0.039
T*T*T	−0.0016	0.0002	−7.32	0.87E-11

Analysis of variance
Source	Sum-of- squares	df	Mean-square	F-ratio	p
Dependent variable: Q−ACF editing activity in the absence of ACF.
Number of experiment (including duplicates), 188.
Multiple R, 0.926. Squared multiple R, 0.86.
Adjusted squared multiple R, 0.85. Standard error of estimate: 2.70.
adf, degrees of freedom.
bp, probability of F-ratio test.
Regression	7677.4	12	639.78	87.61	0.999E-15
Residual	1277.9	175	7.30