Title of article
Total least squares fitting Michaelis–Menten enzyme kinetic model function
Author/Authors
Juki?، نويسنده , , Dragan and Sabo، نويسنده , , Kristian and Scitovski، نويسنده , , Rudolf، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2007
Pages
17
From page
230
To page
246
Abstract
The Michaelis–Menten enzyme kinetic model f ( x ; a , b ) = ax / ( b + x ) , a , b > 0 , is widely used in biochemistry, pharmacology, biology and medical research.
the data ( p i , x i , y i ) , i = 1 , … , m , m ⩾ 3 , we consider the total least squares (TLS) problem for the Michaelis–Menten model. We show that it is possible that the TLS estimate does not exist. As the main result, we show that the TLS estimate exists if the data satisfy some natural conditions. Some numerical examples are included.
Keywords
Existence problem , Total least squares estimate , Total least squares , Michaelis–Menten model
Journal title
Journal of Computational and Applied Mathematics
Serial Year
2007
Journal title
Journal of Computational and Applied Mathematics
Record number
1553715
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