کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4765424 1423857 2017 5 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Calculation of statistic estimates of kinetic parameters from substrate uncompetitive inhibition equation using the median method
ترجمه فارسی عنوان
محاسبه برآوردهای آماری پارامترهای جنبشی از معادله مهار ناپایدار سوبسترا با استفاده از روش میانگین
کلمات کلیدی
خط مستقیم مستقیم، روش متوسط، مهار کردن بستر، برآورد ثابت کنونی،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی مهندسی شیمی (عمومی)
چکیده انگلیسی

We provide initial rate data from enzymatic reaction experiments and tis processing to estimate the kinetic parameters from the substrate uncompetitive inhibition equation using the median method published by Eisenthal and Cornish-Bowden (Cornish-Bowden and Eisenthal, 1974; Eisenthal and Cornish-Bowden, 1974). The method was denominated the direct linear plot and consists in the calculation of the median from a dataset of kinetic parameters Vmax and Km from the Michaelis-Menten equation. In this opportunity we present the procedure to applicate the direct linear plot to the substrate uncompetitive inhibition equation; a three-parameter equation. The median method is characterized for its robustness and its insensibility to outlier. The calculations are presented in an Excel datasheet and a computational algorithm was developed in the free software Python. The kinetic parameters of the substrate uncompetitive inhibition equation Vmax, Km and Ks were calculated using three experimental points from the dataset formed by 13 experimental points. All the 286 combinations were calculated. The dataset of kinetic parameters resulting from this combinatorial was used to calculate the median which corresponds to the statistic estimator of the real kinetic parameters. A comparative statistical analyses between the median method and the least squares was published in Valencia et al. [3].

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Data in Brief - Volume 11, April 2017, Pages 567-571
نویسندگان
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