Quantitative structure activity relationship (QSAR) study of octanol-water partition coefficients of some of environmental octanol-water partition coefficients of some of environmental
Publish place: Asian Journal of Green Chmistry، Vol: 2، Issue: 2
Publish Year: 1396
نوع سند: مقاله ژورنالی
زبان: English
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JR_AJGC-2-2_006
تاریخ نمایه سازی: 22 اردیبهشت 1397
Abstract:
Life and its extraction fuels climate change. We performed studies upon an extended series of petroleum hydrocarbons, with octanol-water partition coefficients (log Kow), by using the quantitative structure- activity relationship (QSAR) methods that imply analysis of correlations and representation of models. A suitable set of molecular descriptors was calculated and the genetic algorithm (GA) was employed to select those descriptors, resulting in the best-fit models. The partial least squares PLS (PLS) was utilized to construct the linear QSAR model. The best GA-PLS model contains 27 selected descriptors in 10 latent variables space. The R2 and RMSE for training and test sets were (0.827, 0.088) and (0.716, 0.185), respectively. Inspection of the results reveals a higher R2 and lowers the RMSE value parameter for the data set GA- PLS. The GA-PLS linear model has good statistical quality with low prediction error. This is the first research on the QSAR which uses GA- PLS for the presiction octanol-water partition coefficients of some of the environmental toxic of the petroleum substances.
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Authors
Mehrdad Shahpar
Director of Ilam Petrochemical Company
Sharmin Esmaeilpoor
Department of Chemistry, Payame Noor University, Tehran, Iran