Skip to main content
Biochemical Journal logoLink to Biochemical Journal
. 1974 Dec;143(3):779–781. doi: 10.1042/bj1430779

The effect of systematic error on the accuracy of Michaelis constants and maximum velocities estimated by using the integrated Michaelis–Menten equation (Short Communication)

Peter F J Newman 1, Gordon L Atkins 1, Ian A Nimmo 1
PMCID: PMC1168449  PMID: 4462757

Abstract

Systematic errors in initial substrate concentration (s0), product concentration and reaction time give much larger errors in the Michaelis–Menten parameters unless s0 is treated as an unknown parameter. These errors are difficult to detect because the fitted curve deviates little from the data. The effect of non-enzymic reaction is also examined.

Full text

PDF
781

Selected References

These references are in PubMed. This may not be the complete list of references from this article.

  1. Atkins G. L., Nimmo I. A. The reliability of Michaelis constants and maximum velocities estimated by using the integrated Michaelis-Menten equation. Biochem J. 1973 Dec;135(4):779–784. doi: 10.1042/bj1350779. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Fernley H. N. Statistical estimations in enzyme kinetics. The integrated Michaelis equation. Eur J Biochem. 1974 Apr 1;43(2):377–378. doi: 10.1111/j.1432-1033.1974.tb03423.x. [DOI] [PubMed] [Google Scholar]
  3. Nimmo I. A., Atkins G. L. A comparison of two methods for fitting the integrated Michaelis-Menten equation. Biochem J. 1974 Sep;141(3):913–914. doi: 10.1042/bj1410913. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. WILKINSON G. N. Statistical estimations in enzyme kinetics. Biochem J. 1961 Aug;80:324–332. doi: 10.1042/bj0800324. [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from Biochemical Journal are provided here courtesy of The Biochemical Society

RESOURCES