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Detection of Errors of Interpretation in Experiments in Enzyme Kinetics

Elsevier Inc.
Publication Date
DOI: 10.1006/meth.2001.1179
  • Residual Plot
  • Error Detection
  • Scatchard Plot
  • Enzyme Inactivation
  • Enzyme Assay
  • Data Analysis.
  • Biology
  • Computer Science


Abstract Although modern statistical computing will often be the method of choice for analyzing kinetic data, graphic methods provide an important supplement that ought not to be neglected. Residual plots, or plots of differences between observed and calculated values against variables not expected to be correlated with these differences, permit a rapid judgment of whether data have been correctly interpreted and analyzed. The rapid increase in the frequency with which artificially modified or mutated enzymes are studied is making it less and less safe to assume that enzymes are stable under assay conditions, and there is thus an increased need for methods to check for enzyme stability, and a method for doing this is briefly described. Finally, the Scatchard plot (together with the Eadie-Hofstee plot) is used as an example to discuss the dangers of publishing derived information unaccompanied by any primary data.

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