A Network Pharmacology-Based Approach to Investigate the Novel TCM Formula against Huntington’s Disease and Validated by Support Vector Machine Model

Table 1

Genetic Function Approximation (GFA) studies with CK2A2 protein.

Model	r^2	r^2 (adj)	r^2 (pred)	RMS Residual Error	Friedman L.O.F.	S.O.R. F-value	S.O.R. p-value
pIC50_1 = 7.7375 − 0.37907 ES_Count_ssCH2 + 1.241 Num_Rings5 − 3.1053 CIC − 2.7227 JX − 0.045277 Jurs_PNSA_3 − 0.04508 Strain_Energy − 0.0033914 PMI_X + 0.77384 Shadow_Ylength	0.8752	0.8299	0.7351	0.2877	0.4128	19.29	2.886e-008
pIC50_2 = -2.9109 − 0.36552 ES_Count_ssCH2 + 1.3155 Num_Rings5 − 2.7949 JX + 12.751 SIC − 0.064703 Jurs_PNSA_3 + 0.0050522 Jurs_WNSA_2 − 0.047705 Strain_Energy + 0.55252 Shadow_Ylength	0.8751	0.8296	0.7426	0.2879	0.4133	19.26	2.926e-008
pIC50_3 = -3.4898 − 0.37365 ES_Count_ssCH2 + 1.3929 Num_Rings5 + 14.011 BIC − 2.4178 JX − 0.073379 Jurs_PNSA_3 + 0.006691 Jurs_WNSA_2 − 0.046048 Strain_Energy + 0.56523 Shadow_Ylength	0.8747	0.8291	0.7400	0.2884	0.4146	19.19	3.026e-008
pIC50_4 = -8.4336 − 0.37402 ES_Count_ssCH2 + 1.2103 Num_Rings5 − 2.1622 JX + 14.991 SIC − 0.044757 Jurs_PNSA_3 − 0.044286 Strain_Energy − 0.0039811 PMI_X + 0.80898 Shadow_Ylength	0.8743	0.8286	0.7325	0.2888	0.4158	19.13	3.116e-008

GFA algorithm is also constructed in other target proteins the same way.