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QSPR modeling of formation constants of diverse pentazadiene complexes using genetic algorithm-multiple linear regression

عنوان مقاله: QSPR modeling of formation constants of diverse pentazadiene complexes using genetic algorithm-multiple linear regression
شناسه ملی مقاله: ICCNRT02_081
منتشر شده در دومین کنگره ملی شیمی و نانو شیمی از پژوهش تا فناوری در سال 1398
مشخصات نویسندگان مقاله:

Seyed Ali Tabatabaei - Kharazmi university

خلاصه مقاله:
Quantitative structure–property relationships(QSPR) models for the formation constants of 27 complexes of pentazadienes were established. The method is applied to a set of 27 complexes of pentazadiene structures and results are quite good, with lower average deviations than experimental uncertainties. Formation constants for complexes of petazadienes with Hg2+ ions have been determined at 25 °C in methanol solution. The suitable set of the molecular descriptors was calculated, and the important descriptors were selected by the genetic algorithm-multiple linear regression(GA-MLR).

کلمات کلیدی:
formation constant, GA-MLR, petazadiene, molecular descriptors

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/969321/