A Useful Microsoft Excel Add-in Program for Modeling Steady-state Enzyme Kinetics
Baojian Wu*, Roland Ako and Ming Hu
Department of Pharmacological and Pharmaceutical Sciences, College of Pharmacy, University of Houston, 1441 Moursund Street, Houston, TX 77030, USA
- *Corresponding Author:
- Baojian Wu
1441 Moursund Street
Department of Pharmacological and Pharmaceutical Sciences
College of Pharmacy, University of Houston
Houston, TX77030, USA
E-mail: [email protected]
Received date: October 29, 2011; Accepted date: November 30, 2011; Published date: December 02, 2011
Citation: Wu B, Ako R, Hu M (2011) A Useful Microsoft Excel Add-in Program for Modeling Steady-state Enzyme Kinetics. Pharm Anal Acta S11:003. doi: 10.4172/2153-2435.S11-003
Copyright: © 2011 Wu B, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
In vitro metabolism and inhibition studies, which serve as the basis of predicting pharmacokinetic events in vivo , are an essential part of pharmaceutical development and research. With the increasing occurrences of a typical kinetic profiles, modeling of enzyme kinetics is no longer a one-step operation of fitting classical Michaelis-Menten equation to the data. It involves considerable computational works regarding model selection and discrimination. This study presented XL Kinetics, a free Microsoft Excel add-in program written in Visual Basic for Application (VBA), for enzyme kinetic analysis. The program provides 11 most frequently used enzyme (stead-state) kinetic models including the models describing atypical kinetics (i.e., substrate inhibition, sigmoidal and biphasic models), a bisubstrate compulsory ordered model, and four reversible inhibition models. To evaluate the program, modeling results from XL_Kinetics and the commercial software packages (i.e., GraphPad Prism and Sigma Plot) were systematically compared. The results show that the kinetic parameters and their respective standard errors derived using XL_Kinetics are essentially the same as those obtained with the commercial software’s. In conclusion, XL_ Kinetics automates enzyme kinetic analysis in MS Excel, and may provide drug researchers and students with a fast, reliable and easy-to-use tool for routine analysis of enzyme kinetic data.