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ProteinViz is a repository developed using Python and Flask for the 3D representation of proteins, facilitating advanced internal studies. This tool enables researchers and scientists to visualize protein structures in a three-dimensional space, aiding in the analysis and understanding of their properties and interactions.

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Narla-Venkata-Anand-Sai-Kumar/ProteinViz

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ProteinViz

ProteinViz is a repository developed using Python and Flask for the 3D representation of proteins, facilitating advanced internal studies. This tool enables researchers and scientists to visualize protein structures in a three-dimensional space, aiding in the analysis and understanding of their properties and interactions.

Features

  • 3D Representation: Utilizes advanced rendering techniques to generate three-dimensional representations of protein structures.
  • Interactive Interface: Provides an interactive interface for users to explore and manipulate protein structures.
  • Customization: Allows users to customize the visualization settings to suit their specific research needs.
  • Integration: Seamlessly integrates with Python and Flask, providing a user-friendly web application for protein visualization.

Usage

  1. Clone the repository:

    git clone https://github.com/Narla-Venkata-Anand-Sai-Kumar/ProteinViz.git
  2. Navigate to the project directory:

    cd ProteinViz
  3. Install the necessary dependencies:

    pip install -r requirements.txt
  4. Run the Flask application:

    python app.py
  5. Access the application through a web browser at http://localhost:5000.

Contributions

Contributions to ProteinViz are welcome! Whether you want to enhance the visualization capabilities, improve the user interface, or add new features, feel free to fork the repository and submit a pull request.

License

This project is licensed under the [specify your license type here, e.g., MIT License].

Contact

For any questions or feedback regarding ProteinViz, please reach out to [email protected].

About

ProteinViz is a repository developed using Python and Flask for the 3D representation of proteins, facilitating advanced internal studies. This tool enables researchers and scientists to visualize protein structures in a three-dimensional space, aiding in the analysis and understanding of their properties and interactions.

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