Comparing enzyme activity modifiers equations through the development of global data fitting templates in Excel
- Published
- Accepted
- Subject Areas
- Biochemistry, Computational Biology, Mathematical Biology, Drugs and Devices, Pharmacology
- Keywords
- Enzyme inhibition, Enzyme activation, Global data fitting, Model comparison, Drug development, Inhibition constant
- Copyright
- © 2017 Walsh
- Licence
- This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.
- Cite this article
- 2017. Comparing enzyme activity modifiers equations through the development of global data fitting templates in Excel. PeerJ Preprints 5:e3094v1 https://doi.org/10.7287/peerj.preprints.3094v1
Abstract
The classical way of defining enzyme inhibition has obscured the distinction between inhibitory effect and the inhibitor binding constant. This article examines the relationship between the simple binding curve used to define biomolecular interactions and the standard inhibitory term (1+([I]/Ki)). By understanding how this term relates to binding curves which are ubiquitously used to describe biological processes, a modifier equation which distinguishes between inhibitor binding and the inhibitory effect, is examined. This modifier equation which can describe both activation and inhibition is compared to standard inhibitory equations with the development of global data fitting templates in Excel, and via the global fitting of these equations to previously reported enzyme kinetic data. This equation and the template developed in this article should prove to be useful tools in the study of enzyme inhibition and activation.
Author Comment
This is a submission to PeerJ for review.