AlphaFold2 examples from CASP 14
From Proteopedia
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Following the discussion by Rubiera<ref name="rubiera">[https://www.blopig.com/blog/2020/12/casp14-what-google-deepminds-alphafold-2-really-achieved-and-what-it-means-for-protein-folding-biology-and-bioinformatics/ CASP14: what Google DeepMind’s AlphaFold 2 really achieved, and what it means for protein folding, biology and bioinformatics], a blog post by Carlos Outeir al Rubiera, December 3, 2020.</ref>, | Following the discussion by Rubiera<ref name="rubiera">[https://www.blopig.com/blog/2020/12/casp14-what-google-deepminds-alphafold-2-really-achieved-and-what-it-means-for-protein-folding-biology-and-bioinformatics/ CASP14: what Google DeepMind’s AlphaFold 2 really achieved, and what it means for protein folding, biology and bioinformatics], a blog post by Carlos Outeir al Rubiera, December 3, 2020.</ref>, | ||
our first example will be [[SARS-CoV-2 protein ORF8]], a protein that contributes to virulence in COVID-19<ref name="7jtl">PMID: 33361333</ref>. CASP 14 classified ORF8 as a "free modeling" (FM) target<ref name="casp14domains">[https://predictioncenter.org/casp14/domains_summary.cgi Summary and Classifications of Domains for CASP 14].</ref>, meaning that there were no adequate empirical templates for [[homology modeling]]. This was easily confirmed. When the [https://www.uniprot.org/uniprot/P0DTC8 amino acid sequence of ORF8] is submitted to [https://swissmodel.expasy.org/ Swiss Model], it reports the best templates for homology modeling. When the two [[empirical models]] that were not available during CASP 14 are excluded ([[7jtl]] and [[7jx6]]), the best template offered, chain B of [[3afc]], covers only 36% of the length of ORF8 at 13.2% sequence identity, with a 4-residue untemplated gap in the sequence alignment. This template would be inadequate for constructing a useful model. | our first example will be [[SARS-CoV-2 protein ORF8]], a protein that contributes to virulence in COVID-19<ref name="7jtl">PMID: 33361333</ref>. CASP 14 classified ORF8 as a "free modeling" (FM) target<ref name="casp14domains">[https://predictioncenter.org/casp14/domains_summary.cgi Summary and Classifications of Domains for CASP 14].</ref>, meaning that there were no adequate empirical templates for [[homology modeling]]. This was easily confirmed. When the [https://www.uniprot.org/uniprot/P0DTC8 amino acid sequence of ORF8] is submitted to [https://swissmodel.expasy.org/ Swiss Model], it reports the best templates for homology modeling. When the two [[empirical models]] that were not available during CASP 14 are excluded ([[7jtl]] and [[7jx6]]), the best template offered, chain B of [[3afc]], covers only 36% of the length of ORF8 at 13.2% sequence identity, with a 4-residue untemplated gap in the sequence alignment. This template would be inadequate for constructing a useful model. | ||
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| + | ===AlphaFold2 Prediction for ORF8=== | ||
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| + | The quality of a prediction in CASP is judged, in large part, by the [[Theoretical_models#CASP_14_Global_Distance_Test_Results|Global Distance Test Total Score, GDT_TS]]. | ||
</StructureSection> | </StructureSection> | ||
Revision as of 23:27, 22 February 2021
This page is under construction. Eric Martz 01:03, 22 February 2021 (UTC)
Prediction of protein structures from amino acid sequences, theoretical modeling, has been extremely challenging. In 2020, breakthrough success was achieved by AlphaFold2[1], a project of DeepMind. For an overview of this breakthrough, verified by the bi-annual prediction competition CASP, please see 2020: CASP 14. Below are illustrated some examples of predictions from that competition.
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References
- ↑ Senior AW, Evans R, Jumper J, Kirkpatrick J, Sifre L, Green T, Qin C, Zidek A, Nelson AWR, Bridgland A, Penedones H, Petersen S, Simonyan K, Crossan S, Kohli P, Jones DT, Silver D, Kavukcuoglu K, Hassabis D. Improved protein structure prediction using potentials from deep learning. Nature. 2020 Jan;577(7792):706-710. doi: 10.1038/s41586-019-1923-7. Epub 2020 Jan, 15. PMID:31942072 doi:http://dx.doi.org/10.1038/s41586-019-1923-7
- ↑ CASP14: what Google DeepMind’s AlphaFold 2 really achieved, and what it means for protein folding, biology and bioinformatics, a blog post by Carlos Outeir al Rubiera, December 3, 2020.
- ↑ Flower TG, Buffalo CZ, Hooy RM, Allaire M, Ren X, Hurley JH. Structure of SARS-CoV-2 ORF8, a rapidly evolving immune evasion protein. Proc Natl Acad Sci U S A. 2021 Jan 12;118(2). pii: 2021785118. doi:, 10.1073/pnas.2021785118. PMID:33361333 doi:http://dx.doi.org/10.1073/pnas.2021785118
- ↑ Summary and Classifications of Domains for CASP 14.
