Simple-Lineweaver–Burk

Analysis of Michaelis–Menten enzyme kinetics using the Lineweaver–Burk equation. Plots the Lineweaver–Burk graph using linear regression and estimates Km + Vmax.

Example Output:

Km: 0.000141811172810182
Vmax: 0.2536312215910251

Coefficient of determination: 0.995776951975508

Installation and usage

Requires

• Python 3
• Pandas
• Numpy
• Matplotlib
• Scikit-learn

Install python dependencies:

# using pip package manager
$ pip install pandas numpy matplotlib sklearn

Save your data as .csv file. Place the substrate concentration in the 'cS' column and reaction rate in the 'v' column (Example: /sample_data/sample_data.csv ):

cS	v
0.0035	50
0.0065	80
...	...

Input your data as an argument (or run without to use sample_data.csv)

# run with your data
$ python main.py `your_data.csv`

# run with sample_data
$ python main.py