Summary
| Num models run | SPOC score | avg_models | max_models | Num unique contacts |
|---|---|---|---|---|
| 3 | 0.836 | 0.9 | 1 | 207 |
Predictions
| Model id | Num contacts | pDOCKQ | pLDDT | PAE |
|---|
The predicted alignment error (PAE, measured in angstroms) is a global measure of residue positioning accuracy. The value is calculated for all pairs of residues within and between interacting proteins and ranges from 0 to 30 Angstroms. In PAE plots, blue represents low PAE values and red represents PAE values > 30. Blue blocks within the same chain represent well-folded domains, whereas blue blocks or stripes between proteins represent regions of two proteins that interact.
The predicted local distance difference test (pLDDT) describes the confidence that an amino acid is positioned correctly relative to neighboring residues in the same chain. It ranges from 0 to 100 (best). Confidently predicted residues generally have pLDDT >70. The baseleline shows the median pLDDT (+/- 2SD) of the protein when run through AF multimer with a non-interacting partner.
Multiple sequence alignment (MSA) variability is a measure of the evolutionary conservation of residues where low variability/lower rate of change indicates higher conservation. The values shown here were calculated with the rate4site program using MSAs produced by the MMseqs2 program. The rates are normalized to a mean of 0, with higher and lower values representing the least and most conserved residues in the protein, respectively.
AlphaMissense is a machine learning program released by DeepMind in 2023 that analyzes a protein's evolutionary history to predict the pathogenicity of altering a single residue in a protein's sequence. The scores range from 0 to 100 with higher scores indicating a higher likelyhood that changing a residue at a particular point will be "pathogenic".
BIOGRID
STRINGDB
| overall score | text score | experiment score | database score |
|---|