AlphaFold: Difference between revisions
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2021 Resources: [For more recent resources and servers, see [[How to predict structures with AlphaFold]].] | |||
* See [https://www.ebi.ac.uk/training/online/courses/alphafold AlphaFold A practical Guide] Superb EMBL-EBI Interactive online tutorial on AlphaFold2 (~3 hours) | * See [https://www.ebi.ac.uk/training/online/courses/alphafold AlphaFold A practical Guide] Superb EMBL-EBI Interactive online tutorial on AlphaFold2 (~3 hours) | ||
*See short [https://mediasite.embl.de/Mediasite/Play/a320afff218d4a3cbad6ea6eca5212931d superb lecture] on AlphaFold by the CEO of ''DeepMind'', '''Dennis Hassabis''', that was given at the EMBL, Heidelberg, on 3-Feb-2022, entitled '''Using AI to accelerate scientific discovery'''. | *See short [https://mediasite.embl.de/Mediasite/Play/a320afff218d4a3cbad6ea6eca5212931d superb lecture] on AlphaFold by the CEO of ''DeepMind'', '''Dennis Hassabis''', that was given at the EMBL, Heidelberg, on 3-Feb-2022, entitled '''Using AI to accelerate scientific discovery'''. | ||
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==AlphaFold published July 2021== | ==AlphaFold published July 2021== | ||
[For recent prediction servers, see [[How to predict structures with AlphaFold]].] | |||
AlphaFold was published in July, 2021<ref name="af2021">PMID: 34265844</ref>. Methods were described in considerable detail. The source code, trained weights, and inference script were made available under an '''open-source license'''. Structure prediction required about one GPU (Graphics Processing Unit) minute per model of about 384 amino acids. | AlphaFold was published in July, 2021<ref name="af2021">PMID: 34265844</ref>. Methods were described in considerable detail. The source code, trained weights, and inference script were made available under an '''open-source license'''. Structure prediction required about one GPU (Graphics Processing Unit) minute per model of about 384 amino acids. | ||
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==Advances since 2021== | ==Advances since 2021== | ||
*See a list of newer servers at [[How to predict structures with AlphaFold]]. | |||
*RoseTTAFoldNA<ref>PMID: 37996753</ref> offers a leap forward in predicting structures of complexes of proteins and nucleic acids, but in November 2023 is not yet available as a free server. | *RoseTTAFoldNA<ref>PMID: 37996753</ref> offers a leap forward in predicting structures of complexes of proteins and nucleic acids, but in November 2023 is not yet available as a free server. | ||
==See Also== | ==See Also== | ||
*[[How to predict structures with AlphaFold]]. | |||
*[[AlphaFold/Index]], a list of pages in Proteopedia about Alphafold. | *[[AlphaFold/Index]], a list of pages in Proteopedia about Alphafold. | ||
*[[How To Find A Structure]] covers both [[empirical models]] and the advantages of comparing them with AlphaFold models due to [[missing residues and incomplete sidechains]] prevalent in empirical models. | |||
==References== | ==References== | ||
