Table 2.

Statistics and input parameters for the multiple regression model with efficient prediction of silencing activities on the complete database (n = 18719 oligonucleotides).

Parameter	Coefficient	P-value
Intercept	−43.85	2.046 × 10−178
ΔG	−2.694	4.459 × 10−111
ΔG2	−0.06917	1.716 × 10−105
ΔG3	−0.0005959	3.017 × 10−106
ΔG1	0.3705	0.00048315
A1	0.8201	2.61 × 10−06
A2	0.8225	1.4939 × 10−11
A3	0.6747	0
A4	0.4644	0
A5	0.5027	0
A11	0.3433	1.0172 × 10−10
A12	0.4986	0
A13	0.9504	0
A19	−0.4455	2.1798 × 10−17
A20	−1.067	2.6228 × 10−98
A22	0.3039	2.0603 × 10−08
G6	−0.3063	1.8561 × 10−08
G7	−0.3133	2.2034 × 10−08
G9	−0.2439	2.8698 × 10−06
G10	−0.6907	7.4738 × 10−28
G14	−0.4776	2.4605 × 10−18
G17	−0.2477	4.2719 × 10−06
G18	−0.2378	3.9472 × 10−06
G19	−0.132	0.0140694
G21	0.3678	1.1793 × 10−12
C4	−0.239	9.663 × 10−06
C5	−0.3201	3.7375 × 10−09
C7	−0.4681	3.9052 × 10−17
C8	−0.1913	0.00023711
C10	−0.6128	2.4693 × 10−22
C11	−0.2256	3.1081 × 10−05
C13	−0.2326	0.00018904
U1	1.989	0
U2	0.6581	4.3741 × 10−07
U3	0.5757	0
U6	0.5343	0
U10	−0.3281	3.3946 × 10−08
U12	0.5828	0
U13	0.7992	0
U14	0.6866	0
U17	0.3141	1.7814 × 10−09
U22	0.3012	2.7612 × 10−08

Model fitting was performed using commercially available software “Analyze-it” for Excel.