Metadata
Science Undergraduate Apply Medium-
Subject
Science
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Education level
Undergraduate
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Cognitive goals
Apply
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Difficulty estimate
Medium
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Tags
Michaelis-Menten, enzyme kinetics, Vmax, Km, data analysis, nonlinear regression
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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 students' ability to analyze enzyme-catalyzed initial-rate vs substrate-concentration data using Michaelis–Menten kinetics: calculate initial rates, choose and apply appropriate fitting methods (nonlinear regression and common linearizations such as Lineweaver–Burk or Eadie–Hofstee), estimate Vmax and Km with units and uncertainty, evaluate fit quality and underlying assumptions (steady-state, initial-rate conditions, single-substrate behavior), and interpret biological implications and limitations of the estimates.
Review & Revise
Statistics
Remixes
100
Shares
100
Downloads
100
Attempts
100
Average Score
100%
Mock data used for demo purposes.