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How to interpret AlphaFold structures
This webinar will introduce AlphaFold system for prediction and interpretation of protein structures. This webinar is designed for experimental biologists who wish to understand the strengths and limitations of AlphaFold and use the models to guide their experimental studies.
In this webinar we will provide an overview for the AlphaFold method and statistics that can be used to understand the reliability of the models. We will also introduce the AlphaFold Database, which provides hundreds of thousands of ready-made models across the tree of life, as well as highlight the AlphaFold Open SourceandColab notebooks that can be used to generate structures of sequences not yet available within the AlphaFold Database.
We will conclude by demonstrating a range of use cases followed by a question and answer session with all the presenters.
Who is this course for?
This webinar is suitable for lab-based andcomputational researchers with an interest instructural biology.
Outcomes
By the end of the webinar you will be able to:
- Explain basic principles of how AlphaFold 2.0 works
- Discuss how to interpret the results of AlphaFold
- Identify where to find AlphaFold models at EMBL-EBI
- Explore how to easily create AlphaFold models using Open source and Google Colab
- Alex Bateman
EMBL-EBI - Sameer Velankar
EMBL-EBI - Kathryn Tunyasuvakool
DeepMind - Sergey Ovchinnikov
Harvard University - Pedro Beltrao
EMBL-EBI - Bálint Mészáros
EMBL
Resource details
Contributed by: | Pathology Portal |
Authored by: |
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Licence: | Creative commons: Attribution-NonCommercial 4.0 International More information on licences |
First contributed: | 02 June 2024 |
Audience access level: | General user |
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