Kinetics of a Highly Conserved Enzyme - Carbonic Anhydrase

Edward Orlando, Stephen Miller, Kathryn Monzo, Lisa Feinman

Version: 1.0

This module contains exercises designed to introduce students to graphical representation of biological data. Students will explore the fundamental principles of enzyme kinetics including enzyme-substrate interactions, Michaelis-Menten kinetics, enzyme inhibition, and environmental factors influencing reaction rates. This module is designed to be implemented in one 60-minute discussion section.
Excel, introductory biology, cell biology, graphing, slope, Quantitative reasoning, data visualization, quantitative biology, interdisciplary, quantitative skills, correlation, enzyme function, Interpreting Graphs, Michaelis-Menten, enzyme kinetics, Enzyme activity, enzyme inhibition, Linear and nonlinear analysis, NIQB, C2. Data and Graphs, C4. mathematical models, enzyme-substrate, NIQB Interdisciplinary Quantitative Reasoning, carbonic anhydrase
137
241
0
0
08.2024

CYTOSKELETON - Microtubule Dynamics in the Cell Cycle

Hannah Pie, Kathleen Hoffman

Version: 1.0

This module contains exercises designed to help upper-level cell biology students understand the dynamics of microtubule polymerization and depolymerization within the cell cycle and how cancer treatments influence this process through interpretation of graphical information, use of dimensional analysis, and comparison of rates of change.
cell biology, Quantitative reasoning, Interdisciplinary STEM, Interpreting Graphs, Cytoskeleton, Scientific reasoning, dimensional analysis, NIQB, C2. Data and Graphs, C6. Quantitative Language, C1. Numeracy
529
515
0
0
10.2023
This module contains exercises designed to help upper-level cell biology students understand the common graphical methods used to evaluate enzyme activity and to see the impact of inhibitors on this activity.
cell biology, Quantitative reasoning, interdisciplinary, linear models, Interpreting Graphs, NIQB, C2. Data and Graphs, C4. mathematical models, nonlinear models
530
265
0
0
08.2023