How to predict structures with AlphaFold: Difference between revisions

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In 2020, the AlphaFold project of Google's DeepMind team demonstrated a major breakthrough in predicting protein structure from sequence. Their success in the blind CASP competition astonished many experts. For an overview, see [[Theoretical models]].
In 2020, the AlphaFold project of Google's DeepMind team demonstrated a major breakthrough in predicting protein structure from sequence. Their success in the blind CASP competition astonished many experts. For an overview, see [[Theoretical models]].


In July, 2021, DeepMind released AlphaFold as [[Alphafold#AlphaFold_published_July_2021|open source code]]. Subsequently, [[Alphafold#Free_AlphaFold-based_Servers|several Colabs became available]] offering '''free''' structure prediction for user-submitted protein sequences. These Google Colabs (collaboratories)<ref name="colabfaq">[https://research.google.com/colaboratory/faq.html Collaboratory FAQ] at Google.</ref>. enable users to submit sequences via web browser, executing the code in the Google cloud, using space private to each user, returning predicted structures.
In July, 2021, DeepMind released [[Alphafold#AlphaFold_published_July_2021|AlphaFold as open source code]]. Subsequently, [[Alphafold#Free_AlphaFold-based_Servers|several Colabs became available]] offering '''free''' structure prediction for user-submitted protein sequences. These Google Colabs (collaboratories)<ref name="colabfaq">[https://research.google.com/colaboratory/faq.html Collaboratory FAQ] at Google.</ref>. enable users to submit sequences via web browser, executing the code in the Google cloud, using space private to each user, returning predicted structures.


Below are instructions for beginners who wish to predict structures.
Below are instructions for beginners who wish to predict structures.
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