PEPSI: PEPtide Sequence Information

PEPSIPy (PEPtide Sequence Information for Python) is an open-source Python library that provides methods for computing a wide range of peptide features, including sequence composition, charge, hydrophobicity, and other physicochemical properties. All features can be calculated on an entire dataset or on a single peptide sequence of interest. Additionally, PEPSI offers a selection of visualisations, such as hydropathy profile or amino acid classification.
This work was conducted as part of the project 'Veni, Vidi, Visualization: Improving Analysis Communication for a Million-Dollar Machine' at the Data Analytics and Computational Statistics Chair, Hasso Plattner Institute.

💻 Python library

Installation

1. Make sure you have pip installed
2. Install PEPSI
   pip install pepsipy
3. Import and use PEPSI in your project!

Usage

1. Initialize a calculator instance

   import pandas as pd
   from pepsipy import Calculator
   calc = Calculator(
      dataset=pd.read_csv("data/peptides.csv"),
      metadata=pd.read_csv("data/metadata.csv"),
      seq="SVIDQSRVLNLGPITR",
   )
   

2. Select desired features and plots with related parameters

   calc.set_feature_params(
      gravy=True,
      molecular_weight=True,
   )
   calc.set_plot_params(
      hydropathy_profile=True,
      classification=True,
      classification_classify_by="charge",
   )
   

3. Compute and show results

   print(calc.get_features())
   plots = calc.get_plots()
   for plot in plots:
      plot.show()
   

📊 Web-based dashboard

Installation

1. Make sure you have a virtual environment manager available, e.g., venv (recommended), or any other manager such as Conda or Poetry.
2. Clone this repository and enter the frontend folder
   

   git clone https://github.com/ronjakrg/pepsipy.git
   cd pepsipy/frontend
   

3. Create and activate a virtual environment and install all necessary requirements
   

   python -m venv .venv
   source .venv/bin/activate
   pip install -r requirements.txt
   

4. Start the server
   

   python manage.py runserver
   

5. Open http://127.0.0.1:8000/ in the browser of your choice to use the PEPSI Dashboard!

Usage

1. Select a dataset and a metadata file (must be uploaded to the /data folder) and a peptide sequence of interest.
2. Select desired features and plots with related parameters
3. Click on 'Calculate' and inspect results

Third-party resources

License

This project is licensed under the MIT License.