- <p>Predicted Alignment Error (PAE) matrices are produced by deep-learning
- based 3D-structure prediction pipelines such as AlphaFold. They reflect how reliably two parts of a model have been positioned in space, by giving for each residue the likely error (in Angstroms) between the modelled position and the pair of residues' real relative position.</p>
- <p>
- Jalview visualises PAE matrices as an alignment annotation track, shaded from dark green to white, as used on the EBI-AlphaFold website (see )
- </p>
+ <p>Predicted Alignment Error (PAE) matrices are produced by
+ deep-learning based 3D-structure prediction pipelines such as
+ AlphaFold. They reflect how reliably two parts of a model have been
+ positioned in space, by giving for each residue the likely error (in
+ Ångstroms) between that residue and every other modelled
+ position the pair of residues' real relative position, if the model
+ and real 3D structure were superimposed at that residue.</p>
+ <p>
+ Jalview visualises PAE matrices as an alignment annotation track,
+ shaded from dark green to white, similar to the encoding used on the
+ EBI-AlphaFold website (see <a
+ href="https://alphafold.ebi.ac.uk/entry/O04090">O04090 3D model</a>
+ at EBI-AlphaFoldDB).
+ </p>