AlphaFold2 examples from CASP 14: Difference between revisions

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===Third Best Prediction for ORF8===
===Third Best Prediction for ORF8===


The third best prediction for ORF8 was by the Perez Lab, with GDT_TS 33 (see Table I above). It '''correctly predicted the parallel beta strands formed by the amino and carboxy terminal ends of the chain'''. <scene name='87/875686/3rd_best_orf8/1'>When the 2-stranded parallel beta strands formed by the ends of the chains are superposed, the remainder superposes poorly</scene>. This prediction has '''no disulfide bonds'''. The '''salt bridge''' Arg86:Asp98 is correctly predicted, along with two incorrectly predicted salt bridges.
The third best prediction for ORF8 was by the Perez Lab, with GDT_TS 33 (see Table I above). It '''correctly predicted the parallel beta strands formed by the amino and carboxy terminal ends of the chain'''. <scene name='87/875686/3rd_best_orf8/1'>When the 2-stranded parallel beta strands formed by the ends of the chains are superposed, the remainder superposes poorly</scene><ref name="fragfit">Superposition by Swiss-PdbViewer's ''Explore Fragment Alternate Fits'', which does not use sequence information. Eight intermediate structures were generated by the [[Morphs#Linear_Morph_Server|Theis Morph Server]] by linear interpolation.</ref>. This prediction has '''no disulfide bonds'''. The '''salt bridge''' Arg86:Asp98 is correctly predicted, along with two incorrectly predicted salt bridges.


===Top Prediction by an Automated Server===
===Top Prediction by an Automated Server===

Revision as of 20:29, 1 March 2021

This page is under construction. Eric Martz 01:03, 22 February 2021 (UTC)

Prediction of protein structures from amino acid sequences, homology 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 empirical models, please see 7jtl. Below are illustrated some examples of predictions from that competition.

Drag the structure with the mouse to rotate

ORF8 Sidechain Accuracy

Table I gives RMSD values for all atoms, which is one indication of sidechain accuracy. Another is prediction of 7jx6 and 3afc. As detailed in Tables II and III:

  • 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.
Table II. Salt Bridge Prediction Accuracy
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.
Table III. Cation-Pi Prediction Accuracy
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.

References

  1. ↑ 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:https://dx.doi.org/10.1038/s41586-019-1923-7

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