Back to Search Start Over

Calculation of statistic estimates of kinetic parameters from substrate uncompetitive inhibition equation using the median method

Authors :
Pedro L. Valencia
Carolina Astudillo-Castro
Diego Gajardo
Sebastián Flores
Source :
Data in Brief, Vol 11, Iss C, Pp 567-571 (2017)
Publication Year :
2017
Publisher :
Elsevier, 2017.

Abstract

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].

Details

Language :
English
ISSN :
23523409
Volume :
11
Issue :
C
Database :
Directory of Open Access Journals
Journal :
Data in Brief
Publication Type :
Academic Journal
Accession number :
edsdoj.4607fc1bb55844a1af4dda554960b53e
Document Type :
article
Full Text :
https://doi.org/10.1016/j.dib.2017.03.013