Degron Scan
The β-hairpin-with-exposed-glycine geometry that underlies CRBN neosubstrate recognition, found by geometry rather than by sequence motif. This is a geometric filter and its score is a rank, not a calibrated probability.
21,717
candidates
8,983
proteins
21,717
high confidence
tip pLDDT ≥ 70
0
known neosubstrates
Two scores, two questions. Both are shown; neither replaces
the other.
Degradability is compound-specific, which is a finding rather than a
limitation: the same features predict lenalidomide well and the promiscuous
analogs barely at all. Contingency tables and the threshold sweep are on the
About tab.
degron_geometry_score |
hairpin geometry. Measured against the Sievers screen at AUC 0.44, below chance: a C2H2 zinc finger is a hairpin with an exposed glycine, so this largely detects the fold. A hypothesis generator, not a classifier. |
imid_degradation_score |
predicted probability of degradation by pomalidomide. Nested held-out AUC 0.830, sensitivity 0.867 at specificity 0.613, which clears the spec 9.2 floors. Empty for 17,067 of 21,717 rows by design: those carry no zinc finger. |
Pin a degron candidate to load its AlphaFold model. The cartoon is coloured by pLDDT on the standard four-band scale, the candidate hairpin is highlighted and the tip glycine renders as spheres.
AlphaFold pLDDT bands
| 90 to 100 | very high |
| 70 to 90 | confident |
| 50 to 70 | low |
| below 50 | very low |