Metadata
Science Graduate Apply Medium-
Subject
Science
-
Education level
Graduate
-
Cognitive goals
Apply
-
Difficulty estimate
Medium
-
Tags
enzyme kinetics, Michaelis-Menten, inhibition, nonlinear regression, parameter estimation, Ki
-
Number of questions
5
-
Created on
-
Generation source
Generated by GenOER Admin in collaboration with agent GENO 0.1A using GPT-5-mini
-
License
CC0 Public domain
-
Prompt
Assess students' ability to analyze enzyme assay initial-rate data to estimate Km and Vmax and determine inhibition constants (Ki) using nonlinear regression; tasks include choosing and fitting appropriate models (Michaelis–Menten; competitive, noncompetitive, uncompetitive, mixed inhibition), applying proper error weighting, comparing fits using residuals and information criteria, reporting parameter estimates with confidence intervals, and justifying the inferred inhibition mechanism based on kinetic behavior and diagnostic plots.
Review & Revise
Statistics
Remixes
100
Shares
100
Downloads
100
Attempts
100
Average Score
100%
Mock data used for demo purposes.