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An approach to computer analysis of the ligand binding assay data on example of radioligand assay data

Fedotov S. N.
Journal of Bioinformatics and Computational Biology
Vol.18, Issue2, Num.2050014
Опубликовано: 2020
Тип ресурса: Статья

DOI:10.1142/S0219720020500146

Аннотация:
As a rule, receptor-ligand assay data are fitted by logistic functions (4PL model, 5PL model, Feldman's model). The preparation of the initial estimates for parameters of these functions is an important problem for processing receptor-ligand interaction data. This study represents a new mathematical approach to calculate the initial estimates more closely to the true values of parameters. The main idea of this approach is in using the modified linear least squares method for calculations of the parameters for the 4PL model and the Feldman's model. In this study, the convergence of model parameters to true values is verified for the simulated data with different statistical scatter. Also, the results of processing real data for the 4PL model and the Feldman's model are presented. A comparison is made of the parameter values calculated by the presented and a nonlinear method. The developed approach has demonstrated its efficiency in calculating the parameters of the complex Feldman"s mod
Ключевые слова:
4PL model; Feldman's model; initial estimates; Ligand-receptor interactions; nonlinear method
article; calculation; computer analysis; human; least square analysis; radioassay; receptor binding assay; simulation
Язык текста: Английский
ISSN: 1757-6334
Fedotov S. N.
Федотов С. Н.
An approach to computer analysis of the ligand binding assay data on example of radioligand assay data
Текст визуальный непосредственный
Journal of Bioinformatics and Computational Biology
Imperial College Press
Vol.18, Issue2 Num.2050014
2020
Статья
4PL model Feldman's model initial estimates Ligand-receptor interactions nonlinear method
article calculation computer analysis human least square analysis radioassay receptor binding assay simulation
As a rule, receptor-ligand assay data are fitted by logistic functions (4PL model, 5PL model, Feldman's model). The preparation of the initial estimates for parameters of these functions is an important problem for processing receptor-ligand interaction data. This study represents a new mathematical approach to calculate the initial estimates more closely to the true values of parameters. The main idea of this approach is in using the modified linear least squares method for calculations of the parameters for the 4PL model and the Feldman's model. In this study, the convergence of model parameters to true values is verified for the simulated data with different statistical scatter. Also, the results of processing real data for the 4PL model and the Feldman's model are presented. A comparison is made of the parameter values calculated by the presented and a nonlinear method. The developed approach has demonstrated its efficiency in calculating the parameters of the complex Feldman"s mod