Description:
Regression model with 6 QuBiLS-MIDAS descriptors used for the prediction of the Drug Potency (log(1/RD50)) in mg/cm2 to trigger repellent reaction of the mosquito Anopheles gambiae.

The training was performed with the Linear Regression algorithm as default in Weka 3.9.4 with 10-fold cross-validation. The 6 QuBiLS-MIDAS descriptors are namely:

RA_F_AB_nCi_2_M15_MP6_T_KA_r_MID
S_TrC_AB_nCi_3_M22(M3)_SS3_T_KA_h_MID
N2_Tr_AB_nCi_3_M21(M11)_MP3_A_KA_a-e-v_MID
K_TrC_AB_nCi_3_M25(M1)_SS2_T_KA_h_MID
GV[1]_K_TrB_AB_nCi_3_M22(M8)_SS2_T_LG3L[2-3]_LGL[2-3]_p-s_MID
GV[2]_K_Tr_AB_nCi_3_M25(M8)_NS7_T_LGA[4.0-5.0]_m-a-c_MID

Training set:
36 compounds extracted from Omolo et al., 2004 10.1016/j.phytochem.2004.08.035

Performance:
For a 10-fold cross-validation, the statistical parameters (performance without applicability domain) are R = 0.8939, MAE = 0.2096, RMSE = 0.2636, RAE = 47.2864 %, and RRSE = 44.2306 %.

Classification Breakpoint:
The breakpoint is 3.41 mg/cm2. Values greater than the breakpoint will elicit a repellent response in mosquito Anopheles gambiae. Values lower or equal to the breakpoint represent certain actions occurring, however, these are not enough to activate a repellent reaction.

Reference:
Omolo et al. Repellency of essential oils of some Kenyan plants against Anopheles gambiae. Phytochemistry. 2004, 65(20), 2797-2802. DOI: 10.1016/j.phytochem.2004.08.035