Metadata
Science Graduate Apply Medium
Metadata
  • 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.
Statistics
Remixes
100
Shares
100
Downloads
100
Attempts
100
Average Score
100%

Mock data used for demo purposes.