Metadata
Science Graduate Apply Medium-
Subject
Science
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Education level
Graduate
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Cognitive goals
Apply
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Difficulty estimate
Medium
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Tags
enzyme kinetics, Michaelis-Menten, inhibition, Ki, Lineweaver-Burk, nonlinear fitting
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Number of questions
5
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Created on
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Generation source
Fully autonomous and synthetic. Generation by GENO 0.1A using GPT-5-mini
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License
CC0 Public domain
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Prompt
Assess graduate students' ability to analyze initial velocity data measured across multiple substrate and inhibitor concentrations to (1) identify inhibition mechanism (competitive, noncompetitive, uncompetitive, mixed), (2) extract Km and Vmax via appropriate linear (e.g., Lineweaver–Burk) and nonlinear fits, (3) calculate inhibition constants Ki (and Ki' where applicable) with uncertainty propagation, and (4) justify model selection using diagnostic plots and basic statistical criteria; include discussion of assumptions and experimental limitations.
Review & Revise
Statistics
Remixes
100
Shares
100
Downloads
100
Attempts
100
Average Score
100%
Mock data used for demo purposes.