EZ-FIT: A practical curve-fitting microcomputer program for the analysis of enzyme kinetic data on IBM-PC compatible computers
| Autor: | Frank W. Perrella |
|---|---|
| Rok vydání: | 1988 |
| Předmět: |
Partial residual plot
Statistics as Topic Biophysics Cell Biology computer.file_format Biochemistry Enzymes Data conversion Kinetics Microcomputers Software Design IBM PC compatible Curve fitting Akaike information criterion Molecular Biology Algorithm computer Nonlinear regression Software Student's t-test Statistic Mathematics |
| Zdroj: | Analytical Biochemistry. 174:437-447 |
| ISSN: | 0003-2697 |
| DOI: | 10.1016/0003-2697(88)90042-5 |
| Popis: | EZ-FIT, an interactive microcomputer software package, has been developed for the analysis of enzyme kinetic and equilibrium binding data. EZ-FIT was designed as a user-friendly menu-driven package that has the facility for data entry, editing, and filing. Data input permits the conversion of cpm, dpm, or optical density to molar per minute per milligram protein. Data can be fit to any of 14 model equations including Michaelis-Menten, Hill, isoenzyme, inhibition, dual substrate, agonist, antagonist, and modified integrated Michaelis-Menten. The program uses the Nelder-Mead simplex and Marquardt nonlinear regression algorithms sequentially. A report of the results includes the parameter estimates with standard errors, a Student t test to determine the accuracy of the parameter values, a Runs statistic test of the residuals, identification of outlying data, an Akaike information criterion test for goodness-of-fit, and, when the experimental variance is included, a chi 2 statistic test for goodness-of-fit. Several different graphs can be displayed: an X-Y, a Scatchard, an Eadie-Hofstee, a Lineweaver-Burk, a semilogarithmic, and a residual plot. A data analysis report and graphs are designed to evaluate the goodness-of-fit of the data to a particular model. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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