Citation:
FENG Chang-Jun, YANG Wei-Hua. Linear QSAR Regression Models for the Prediction of Bioconcentration Factors of Chloroanilines in Fish by Density Functional Theory[J]. Chinese Journal of Structural Chemistry,
;2014, 33(6): 830-834.
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Density functional theory (DFT)-B3LYP level with the 6-311G**(d,p) basis set was used to calculate a set of molecular quantum chemical descriptors of 12 chloroanilines. Quantitative structure-activity relationship (QSAR) models of the bioconcentration factors (BCF) of the anilines in fish were established using some of the following calculated descriptors: EHOMO, ENHOMO, ELUMO, ENLUMO, ΔE1(=ELUMO-EHOMO), ΔE2(=ENLUMO-ENHOMO), dipole moment (μ), molecular volume (V), vibrational energy of 0 K (Ev), thermodynamic energy (E), heat capacity (Cv), entropy (Sm) and the charge of benzene ring (Qph). Using the variable selection and leaps-and-bounds regression, the quantum chemical descriptors derived directly from the molecular structures were employed to develop a linear QSAR model between the bioconcentration factors (BCF) and two descriptors (Sm, ENHOMO) of 12 chloroanilines. Statistically, the most significant one is a two-parameter linear equation with the correlation coefficient (R2) of 0.981 and cross-validated correlation coefficient (RCV2) of 0.967. The established QSAR model has good stability and predictability based on the results from RCV2 of leave-one-out cross-validation, AIC, FIT and tα/2. The quantum chemical analyses were performed from two aspects of frontier molecular orbital and entropy. The results show that two structural describers are crucial to the bioconcentration activity of chloroanilines.
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