AlphaFold2 examples from CASP 14: Difference between revisions

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===ORF8 Sidechain Accuracy===
===ORF8 Sidechain Accuracy===
Table I gives RMSD values for all atoms, which is one indication of sidechain accuracy. Another is prediction of [[salt bridges]] and [[cation-pi interactions]]. As detailed in Tables II and III:
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 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 one of two''' salt bridges, and predicted '''no incorrect''' salt bridges.
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*The 2nd best prediction has no cation-pi interactions.
*The 2nd best prediction has no cation-pi interactions.
*(AB): The two chains in each X-ray model.
*(AB): The two chains in each X-ray model.
====Visualization of Surface Charge Distributions====
[[Image:Orf8-casp14-charges.png]]


==References==
==References==
<references />
<references />

Revision as of 21:27, 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

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:

  1. Table I gives RMSD values for all atoms, which is one indication of sidechain accuracy.
  2. Prediction of 7jx6 and 3afc.
  3. 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.
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.

Visualization of Surface Charge Distributions

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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