AlphaFold2 examples from CASP 14
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<StructureSection load='' size='350' side='right' caption='' scene='87/875686/Af2_vs_7jx6_chain_a/1'> | <StructureSection load='' size='350' side='right' caption='' scene='87/875686/Af2_vs_7jx6_chain_a/1'> | ||
==Free Modeling Results== | ==Free Modeling Results== | ||
| - | [https://predictioncenter.org/casp14/domains_summary.cgi More than 100 domains] were provided as prediction targets in CASP 14. 14 of these were in the most difficult category, ''free modeling'' ("FM"), meaning that no informative [[homology modeling]] templates existed. For 8 of these (57%), AlphaFold2's predictions achieved [[Theoretical_modeling#CASP_14_Global_Distance_Test_Results|GDT_TS scores]] of 87-93 (median 88.5). For those 8, GDT_TS of the second best predictions were 43-76 (median 66). Two cases will be analyzed below. <u>First</u>, SARS-CoV-2 ORF8, a 92-residue FM domain where '''AlphaFold2's GDT_TS was 87, and the second best was 43''' (by the group of Xian Ming Pan)<ref name="t1064">For SARS-CoV-2 ORF8, at the [https://predictioncenter.org/casp14/results.cgi?view=tb-sel CASP 14 Table Browser], check T1064-D1 and press ''Show Results''.</ref>. It is unusual because two independently-determined X-ray crystallographic structures were subsequently published. Inspiration for this case came from the discussion by Ribiera<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>. The <u>second</u> case analyzed below was the longest domain in the FM category, 404 residues. AlphaFold2 achieved GDT_TS of 88, and the second best prediction, 63 (by Seok-refine). | + | [https://predictioncenter.org/casp14/domains_summary.cgi More than 100 domains] were provided as prediction targets in CASP 14. 14 of these were in the most difficult category, ''free modeling'' ("FM"), meaning that no informative [[homology modeling]] templates existed. For 8 of these (57%), AlphaFold2's predictions achieved [[Theoretical_modeling#CASP_14_Global_Distance_Test_Results|GDT_TS scores]] of 87-93 (median 88.5). For those 8, GDT_TS of the second best predictions were 43-76 (median 66). Two cases will be analyzed below. <u>First</u>, SARS-CoV-2 ORF8, a 92-residue FM domain where '''AlphaFold2's GDT_TS was 87, and the second best was 43''' (by the group of Xian Ming Pan)<ref name="t1064">For SARS-CoV-2 ORF8, at the [https://predictioncenter.org/casp14/results.cgi?view=tb-sel CASP 14 Table Browser], check T1064-D1 and press ''Show Results''.</ref>, the largest difference between 1st and 2nd predictions among the FM targets. It is further unusual because two independently-determined X-ray crystallographic structures were subsequently published. Inspiration for this case came from the discussion by Ribiera<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>. The <u>second</u> case analyzed below was the longest domain in the FM category, 404 residues. AlphaFold2 achieved GDT_TS of 88, and the second best prediction, 63 (by Seok-refine). |
==SARS-CoV-2 ORF8== | ==SARS-CoV-2 ORF8== | ||
Revision as of 20:05, 6 March 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, documented 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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Contents |
ORF8 Sidechain Accuracy
AlphaFold2's predictions for sidechain positions seem fairly good, while sidechain positions in the 2nd best prediction seem poor. This conclusion is based on three types of observations:
- Table I gives RMSD values for all atoms, which is one indication of sidechain accuracy.
- Prediction of salt bridges and cation-pi interactions.
- Visualization of the distributions of charges on the surfaces.
Salt Bridges and Cation-Pi Interactions
- AlphaFold2's prediction was correct for 4/5 interactions, with one incorrect interaction.
- AlphaFold2's prediction was correct for one of two salt bridges, and predicted no incorrect salt bridges.
- AlphaFold2's prediction was correct for three of three cation-pi interactions, but predicted one incorrect interaction.
- The 2nd best prediction was correct for 1/5 interactions, with 2 incorrect interactions.
- The 2nd best prediction was correct for one of two salt bridges, but predicted two incorrect salt bridges.
- The 2nd best prediction failed to predict any of the three cation-pi interactions, predicting zero interactions.
| 7JX6 | 7JTL | AlphaFold2 | 2nd Best |
|---|---|---|---|
| R101:D112 (AB) | R101:D113 (AB) | R86:D98 | R86:D98 |
| R115:D119 (AB) | R115:D119 (AB) | – | R100:E4 |
| K44:E59 (AB) | K44:E59 (AB) | K29:E44 | – |
| – | – | – | K78:E77 |
- Bridges in the same row are identical (except for red residues). Subtract 15 from the sequence numbers in the X-ray structures for the equivalent sequence numbers in the predictions.
- Black: Shortest sidechain nitrogen to sidechain oxygen distance ≤4.0 Å.
- Gray: Shortest sidechain nitrogen to sidechain oxygen distance 4.4 to 4.8 Å.
- –: Shortest sidechain nitrogen to sidechain oxygen distance 6 to 16 Å.
- (AB): The two chains in each X-ray model.
- Italics: erroneous prediction.
| 7JX6 | 7JTL | AlphaFold2 | 2nd Best |
|---|---|---|---|
| R101:Y46+Y108 (AB) | R101:Y46+Y108 (AB) | R86:Y31+Y96 | – |
| K44:F108 (B) | K44:F108 (AB) | K29:F93 | – |
| – | – | K79:F105 | – |
- All interactions listed are deemed energetically significant by the CaPTURE Server.
- Interactions in the same row are identical. Subtract 15 from the sequence numbers in the X-ray structures for the equivalent sequence numbers in the predictions.
- Italics: erroneous prediction.
- The 2nd best prediction has no cation-pi interactions.
- (AB): The two chains in each X-ray model.
Visualization of Surface Charge Distributions
GDT_TS Calculations
GDT_TS values for predictions are taken from CASP 14 results. GDT_TS values for 7JTL and 5A2F vs. 7JX6 chain A were calculated using the AS2TS server of Adam Zemla[19]. See instructions for Calculating GDT_TS. CASP 14 reported GDT_TS 86.96 for the AlphaFold2 prediction, while the AS2TS server calculated GDT_TS 86.41 vs. 7jx6 chain A, and 88.59 vs. 7JTL chain A.
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
- ↑ For SARS-CoV-2 ORF8, at the CASP 14 Table Browser, check T1064-D1 and press Show Results.
- ↑ 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.
- ↑ 4.0 4.1 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
- ↑ 5.0 5.1 Summary and Classifications of Domains for CASP 14.
- ↑ 6.0 6.1 6.2 6.3 Superposition by Swiss-PdbViewer's iterative magic fit. This starts with a sequence alignment-guided structural superposition, and then superposes subsets of the structures to minimize the RMSD. Eight intermediate structures were generated by the Theis Morph Server by linear interpolation.
- ↑ Cuff AL, Sillitoe I, Lewis T, Clegg AB, Rentzsch R, Furnham N, Pellegrini-Calace M, Jones D, Thornton J, Orengo CA. Extending CATH: increasing coverage of the protein structure universe and linking structure with function. Nucleic Acids Res. 2011 Jan;39(Database issue):D420-6. doi: 10.1093/nar/gkq1001. , Epub 2010 Nov 19. PMID:21097779 doi:http://dx.doi.org/10.1093/nar/gkq1001
- ↑ Holm L. DALI and the persistence of protein shape. Protein Sci. 2020 Jan;29(1):128-140. doi: 10.1002/pro.3749. Epub 2019 Nov 5. PMID:31606894 doi:http://dx.doi.org/10.1002/pro.3749
- ↑ Using Swiss-PdbViewer's Fit from Selection with 102 residues selected from each structure, followed by Improve Fit.
- ↑ Katoh K, Standley DM. MAFFT multiple sequence alignment software version 7: improvements in performance and usability. Mol Biol Evol. 2013 Apr;30(4):772-80. doi: 10.1093/molbev/mst010. Epub 2013 Jan, 16. PMID:23329690 doi:http://dx.doi.org/10.1093/molbev/mst010
- ↑ Structural superposition by Dali. Interpolation by the Yale Morph2 Server. Homogenization method: homology modeling. No minimization. This produced a 9-model file where model 1 was 7jx6, and models 2-9 were interpolations. 5a2f residues 28-133 were added as model 10 (black in the molecular scene).
- ↑ The interpretation of Dali's result to mean that ORF8 does not have a novel fold was kindly confirmed by Liisa Holm, personal communication to Eric Martz, February, 2021.
- ↑ Download AlphaFold2's predicted structure for ORF8 from T1064TS427_1-D1.pdb.
- ↑ 14.0 14.1 See #GDT_TS Calculations.
- ↑ See #ORF8 is not a novel fold.
- ↑ Superposition by Swiss-PdbViewer's magic fit. This is a sequence alignment-guided structural superposition. Eight intermediate structures were generated by the Theis Morph Server by linear interpolation.
- ↑ Superposition by Swiss-PdbViewer's Explore Fragment Alternate Fits, which does not use sequence information. Eight intermediate structures were generated by the Theis Morph Server by linear interpolation.
- ↑ For all targets in CASP 14, the top two servers were QUARK and Zhang-server (which were not significantly different at a Z-score sum of 62.9), followed by Zhang-CEthreader (55.9) and BAKER-ROSETTASERVER (55.3).
- ↑ Zemla A. LGA: A method for finding 3D similarities in protein structures. Nucleic Acids Res. 2003 Jul 1;31(13):3370-4. doi: 10.1093/nar/gkg571. PMID:12824330 doi:http://dx.doi.org/10.1093/nar/gkg571

