EnzymeKinetic Analyzer

Overview

This application performs robust non-linear regression on enzyme kinetics data to determine parameters like Vmax, Km, and Ki. It supports several models and diagnostic tools.

Features

• Multiple Models: Michaelis-Menten, Substrate Inhibition, and various Inhibition models (Matrix input).
• Weighting Schemes: Supported OLS (ordinary least squares), Poisson (1/y), and Relative (1/y²) weighting for accurate error estimation.
• Visual Diagnostics: Generates Fit curves and Residual plots.

Installation

1. Clone the repository:

   git clone https://github.com/YOUR_USERNAME/kineticAnalyser.git
   cd kineticAnalyser

2. Create a virtual environment:

   python -m venv venv
   source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install dependencies:

   pip install -r requirements.txt

4. Run the app:

   python enzyme_app.py

Requirements

• Python 3.8+
• Flet
• NumPy
• SciPy
• Matplotlib

Building Standalone Executable

you can build your own standalone executable for Windows, Linux, or macOS locally.

1. Install Flet:

   pip install flet

2. Run the packaging command:

   • Windows:

     flet pack enzyme_app.py -n "EnzymeKinetic Analyzer" -i icon.ico

   • macOS/Linux:

     flet pack enzyme_app.py -n "EnzymeKinetic Analyzer" -i icon.png

The executable will be generated in the dist folder.

License

MIT License