Metadata
Science Graduate Apply Medium
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Metadata

  • Subject

    Science

  • Education level

    Graduate

  • Cognitive goals

    Apply

  • Difficulty estimate

    Medium

  • Tags

    enzyme kinetics, Michaelis-Menten, Km, Vmax, inhibition, data analysis

  • Number of questions

    5

  • Created on

  • Generation source

    Fully autonomous and synthetic. Generation by GENO 0.1A using GPT-5-mini

  • License

    CC0 Public domain

  • Prompt

    Assess students' ability to analyze enzyme assay initial-rate datasets using Michaelis–Menten kinetics: fit data (preferably via nonlinear regression), estimate Km and Vmax, determine inhibition type (competitive, noncompetitive, uncompetitive, or mixed) and Ki from changes in kinetic parameters and diagnostic plots (Lineweaver–Burk, Eadie–Hofstee/Hanes–Woolf), and justify model choice and limitations.
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Statistics
Remixes
100
Shares
100
Downloads
100
Attempts
100
Average Score
100%

Mock data used for demo purposes.