The inhibition type was determined using a Lineweaver–Burk plot [53 (link)]. The apparent slope (Kmapp/Vmaxapp) and intercept (1/Vmaxapp) versus different inhibitor concentrations was used to determine the inhibition constant (Ki) [54 (link)]. Different kinetic parameters were obtained for different concentrations of the substrate (0.5, 0.75, and 1 mM) and inhibitors (compound 1 —0.0, 4.0, 6.6, and 9.3 µM; compound 3 —0, 2.5, 2.6, and 2.7 µM). Sigmaplot version 12.0 (SPSS Inc., Chicago, IL, USA) was employed to generate the plots.
Sigmaplot version 12
Manufactured by IBM
Sourced in United States
SigmaPlot Version 12.5 is a data analysis and graphing software. It provides tools for data manipulation, statistical analysis, and creating high-quality scientific and technical graphs.
Automatically generated - may contain errors
Lab products found in correlation
5 protocols using sigmaplot version 12
1
Enzyme Inhibition Kinetics Analysis
2
Comparative Evaluation of Dental Restoration
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Data on the volume and porosity of the restorations were statistically analyzed using a two-way analysis of variance followed by Tukey’s post hoc test. Data on the change in the restoration volume and internal porosity obtained with each LCU were analyzed using the Mann–Whitney rank-sum test. The significance level of all analyses was set at α = 0.05. Statistical analyses were performed using SigmaPlot, version 12.0 (SPSS Inc., Chicago, Illinois, USA).
3
Statistical Analysis of Experimental Data
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The results are an average of three independent experiments. Data are presented as mean ± standard error of the mean (SEM). Statistical comparisons of each samples between groups were performed using a one-way ANOVA test (both between groups and within groups). Differences were considered statistically significant when P < 0.05. All the statistical analyses were performed using SigmaPlot, version 12.5 and SPSS software, ver 19.0 for Windows.
4
Statistical Analysis of Experimental Data
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Data analysis was performed using SigmaPlot Version 12.5 and SPSS Version 22.0 software. The normality of the distribution and the homogeneity of the data were examined by the Shapiro–Wilk test and Levene’s test, respectively. One-way analysis of variance (ANOVA) or the t-test was used for quantitative data. Nonparametric testing was used for data that did not meet the requirements for normality and homogeneity after transformation. All statistical tests were performed at a 5% significance level, and data are expressed as mean ± standard error (SE).
5
Metabolite Ratio Analysis of Groups
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Comparison of metabolite ratios between the two groups was performed using the Mann -Whitney U-test (two-tailed). P values less than 0.05 were considered to represent statistical significance. Analyses were performed using IBM SPSS, version 20.0 (IBM Corporation, Armonk, NY). When significant differences in ratios were found between the two groups, the data were fitted to a logarithmic model, y = a+b • ln(x), where y is Glu/Cr at age x (in years), and a and b represent the intercept and slope parameters, respectively. Models were determined using SigmaPlot Version 12.5 (SPSS, Chicago, IL).
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