(EBSM)

[Aichele Home | Math Dept Home | Math Projects Home]

**Background**

The ** Effective Biological Science Through Mathematics (EBSM)**
project is an interdisciplinary effort involving faculty from the departments
of Mathematics and Microbiology and Molecular Genetics. The goal is to contribute
directly to student success in selected coursework areas in the biological
sciences and to student retention in the biological sciences. The purpose
of this project is to develop a series of mathematical studies related to
quantitative topics that are difficult for students. Here, we focus on one
topic: enzyme kinetics. The primary development activities include the development
of this instructor- and student-friendly supplement on enzyme kinetics including
simple enzyme kinetics, various forms of inhibition, and the effect of gating
on Michaelis enzyme kinetics.

(EBSM M-M Supplement)

The Michaelis-Menten Model of Enzyme Saturation has been selected as the initial topic for this project. Several mathematical topics are essential for a quantitative understanding of this model. These include the significance of the concavity of a graph, the interpretation of approximate linearity, and the practical meaning of asymptotes. The unifying concept underlying these is that of a rate of change. The application of this concept in the context of this model is crucial for a quantitative understanding.

Understanding the connections between a scientific theory and the related mathematical model is fundamental. The traditional approach has been to develop a repertoire of mathematical skills in mathematics classrooms that are prerequisite to studying concepts of science. The notion seems simple enough: possessing the prerequisite mathematical skills should enable the science learner to apply these skills when needed in the study of science concept. Unfortunately, we have not had too much success with this approach. We have approached the problem differently. We have selected one essential scientific theory that instructors and students alike perplex over -enzyme kinetics- and have developed this instructor- and student-friendly supplement revisiting the necessary mathematics in the model. We have made this supplement readily available in a CD format at well through the internet.

The

The components of the

**Understanding Linear Functions****Understanding Rational Functions****Modeling the Michaelis-Menten Model of Enzyme Saturation****Using the TI-83 to Analyze Data**

Good Luck!

Douglas B. Aichele

Alan V. Noell

James T. Blankemeyer

Copyright. 2002 by Oklahoma State University

This page is maintained by Doug Aichele (aichele@math.okstate.edu)

Get a GoStats hit counter