From sequences to structures: Protein characterisation using EMBL-EBI APIs

Proteins are fundamental to biological processes, and understanding their sequence, structure, and function is crucial for various applications in research. This one-day, hands-on virtual workshop guided participants through a structured, programmatic workflow using EMBL-EBI resources.

For this course I created Google Colab notebooks to demonstrate the use of AFDB API:

1. AlphaFold DB API Introduction This notebook introduces how to use a programming interface (API) to access protein structure predictions from the AlphaFold Database. It includes code examples for retrieving and exploring these predictions programmatically.

2. AFDB Data Visualisation This notebook focuses on visualising the protein structure data available in the AlphaFold Protein Structure Database (AFDB). It demonstrates how to use Python tools to render plDDT, PAE and AlphaMissense plots.

3. AFDB_BigQuery.ipynb This notebook provides a guide to accessing and querying AlphaFold Database information using Google BigQuery. Key topics include:

Read more See notebooks here