Recorded webinar

Introduction to AlphaFold Database programmatic access

In this webinar, we will present how to fetch and parse structural data via the AlphaFold Database’s (AFDB) APIs. The webinar will cover model file access, analysis of confidence scores, when to fetch predicted vs experimental models, and foundational structure data analysis. 

This event is part of the 6-part webinar series “Accessing structural data programmatically with PDBe”. You can follow the link for more information about the series and its webinars.

Who is this course for?

This webinar is suitable for bioinformaticians, structural biologists, cell biologists, molecular biologists, undergraduate, postgraduate and doctoral students; post-doctoral researchers, and software developers. Programming experience is not required, but some basic familiarity with Python is advised.

Outcomes

By the end of this webinar you will be able to:

  • Navigate the AFDB pages from search to entry
  • Access predicted models programmatically
  • Assess structures for downstream analysis
  • Use Python to parse and analyse structural data

DOI_disc_logo DOI: 10.6019/TOL.afdb-programmatic-access-w.2026.00001.1

EBI Resources

title
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17 June 2026
Online
Free
Contact
Flaminia Zane

Organisers

Speakers

Creative Commons

All materials are free cultural works licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license, except where further licensing details are provided.


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