مشخصات پژوهش

عنوان	Structure-based predictions of 13C-NMR chemical shifts for a series of 2-functionalized 5-(methylsulfonyl)-1-phenyl-1H-indoles derivatives using GA-based MLR method
نوع پژوهش	مقاله چاپ‌شده در مجلات علمی
کلیدواژه‌ها	13C-NMR, QSPR, Nuclear magnetic resonance, Chemical shift calculation, GA-MLR, Applicability domain
چکیده	Experimental values for the 13C NMR chemical shifts (ppm, TMS = 0) at 300 K ranging from 96.28 ppm (C40 of indole derivative 17) to 159.93 ppm (C40 of indole derivative 23) relative to deuteride chloroform (CDCl3, 77.0 ppm) or dimethylsulfoxide (DMSO, 39.50 ppm) as internal reference in CDCl3 or DMSO-d6 solutions have been collected from literature for thirty 2-functionalized 5-(methylsulfonyl)-1-phenyl- 1H-indole derivatives containing different substituted groups. An effective quantitative structure–property relationship (QSPR) models were built using hybrid method combining genetic algorithm (GA) based on stepwise selection multiple linear regression (SWS-MLR) as feature-selection tools and correlation models between each carbon atom of indole derivative and calculated descriptors. Each compound was depicted by molecular structural descriptors that encode constitutional, topological, geometrical, electrostatic, and quantum chemical features. The accuracy of all developed models were confirmed using different types of internal and external procedures and various statistical tests. Furthermore, the domain of applicability for each model which indicates the area of reliable predictions was defined.
پژوهشگران	فرهاد جنتی (نفر چهارم)، زلیخا رسولی (نفر سوم)، فریدون صادقی (نفر دوم)، رئوف قوامی زروان (نفر اول)