مشخصات پژوهش

عنوان	In silico prediction of cutaneous penetration rate of some chemicals from their molecular structural descriptors
نوع پژوهش	مقاله چاپ شده
کلیدواژه‌ها	Quantitative structure–activity relationship · Dermal penetration · Artificial neural network
چکیده	The cutaneous penetration rate of some hormones and organic solvents to the stratum corneum was modeled and estimated by using interpretable molecular descriptors. To develop quantitative structure–activity relationship (QSAR) models, the methods of multiple linear regression and artificial neural network were used. The results of this study indicated the ability of the developed QSAR models in the prediction of the dermal penetration rate of various chemicals from their calculated molecular descriptors.
پژوهشگران	محمد حسین فاطمی (نفر دوم)، سیده مژگان بهگزین (نفر اول)