Metadata
Science Graduate Apply Medium
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Metadata

  • Subject

    Science

  • Education level

    Graduate

  • Cognitive goals

    Apply

  • Difficulty estimate

    Medium

  • Tags

    Michaelis-Menten, enzyme inhibition, kinetics, data analysis, Lineweaver-Burk, Ki estimation

  • 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 initial-rate (v0) versus substrate concentration data measured at multiple inhibitor levels using Michaelis–Menten principles. They should determine Vmax and Km by suitable linear (Lineweaver–Burk, Eadie–Hofstee) and nonlinear regression methods, identify patterns diagnostic of competitive, noncompetitive, uncompetitive, and mixed inhibition, estimate Ki where feasible, and justify classifications while addressing experimental error and assay design considerations.
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Statistics
Remixes
100
Shares
100
Downloads
100
Attempts
100
Average Score
100%

Mock data used for demo purposes.