📘 PDB_Notebooks

This repository contains Jupyter Notebooks that demonstrate how to use resources available from the Protein Data Bank in Europe (PDBe).

These notebooks are designed to be accessible to those new to coding and structural biology.

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👩‍🔬 About the Author

I spent many years working in wet lab research, purifying proteins and setting up crystal trays to generate structural biology data.

Now, I work at Protein Data Bank in Europe (PDBe), part of the Worldwide Protein Data Bank (wwPDB), where I’ve been learning more about programming and data analysis.

Jupyter Notebooks have been a great way for me to explore, test, and share code in a user-friendly format -- especially for those who are just starting out in computational biology.

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📂 Repository Contents

Each notebook in this repository showcases a different way to interact with PDBe resources, such as:

• Accessing structural data
• Visualizing protein structures
• Querying metadata
• Exploring biological annotations

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🛠️ Technologies Used

• Python
• Jupyter Notebooks
• PDBe APIs and web services
• Common Python libraries (e.g. pandas, requests)
• Gemmi

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🤝 Contributing

Feedback and suggestions are welcome! Feel free to open issues or submit pull requests.

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📫 Contact

If you'd like to connect or learn more about PDBe, feel free to reach out or visit:

• PDBe.org
• PDBe-KB.org
• 3dbeacons.org