TriCyp
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TriCyp

Three-state cysteine classification across ECOD F70 representative domains — disulfide-bonded, metal-binding, or free thiol — combining ESM2 predictions with PDB structural evidence.

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© 2026 Schaeffer & Cong Labs, UT Southwestern Medical Center

data · paper-v1·refreshed 2026-05-06

Paper Fig 4

AlphaFold geometric scanning

AlphaFold-monomer geometric scanning is fundamentally limited as a disulfide-bond predictor. AFDB-monomer models do not place Sγ atoms within the geometric tolerance of an experimental disulfide bond often enough to serve as an annotation source: well-conserved disulfides in PDB experimental structures are repeatedly placed beyond the Sγ–Sγ cutoff in matched AFDB models, even when sequence identity to a templated PDB structure is high.

Population statistics

Aggregate evidence across paired AFDB / PDB structures.

Fig 4A — Geometric scanning recall

Fig 4A

Geometric scanning recall

Sγ–Sγ geometric scanning of AFDB-monomer models recovers only a small fraction of disulfides annotated in matched PDB experimental structures, even at generous distance cutoffs.

Fig 4B — Sγ–Sγ distance distributions

Fig 4B

Sγ–Sγ distance distributions

Distribution of Sγ–Sγ distances in AFDB models for cysteine pairs that form an experimental disulfide in the matched PDB structure. The bulk of the distribution sits well above the 2.5 Å disulfide bond cutoff.

Fig 4C — PAE attenuation

Fig 4C

PAE attenuation

Predicted aligned error between disulfide-paired cysteines does not predict whether the AFDB model places them within geometric tolerance, i.e., low PAE alone is not sufficient to recover the bond geometry.

Structural examples

Three case studies where a disulfide is firmly geometric in the PDB experimental structure but absent from the matched AFDB-monomer model. Download the PyMOL sessions to inspect the cysteine-pair geometry locally.

Fig 4D

Example 1 — AFDB vs PDB

Cartoon overlay of an AFDB-monomer model and matched PDB experimental structure showing a disulfide that is correctly geometric in the PDB structure but absent from AFDB at any reasonable cutoff.

Fig 4D — Example 1 — AFDB vs PDB

Fig 4D · structure assets

Paper-supplementary identifiers pending.

↓ fig4d_example1.pse↓ AFDB.pdb↓ PDB.pdb

Fig 4E

Example 2 — AFDB vs PDB

Second AFDB / PDB pair with the same failure mode: an experimentally observed disulfide is placed beyond Sγ–Sγ geometric tolerance in the AFDB model.

Fig 4E — Example 2 — AFDB vs PDB

Fig 4E · structure assets

Paper-supplementary identifiers pending.

↓ fig4e_example2.pse↓ AFDB.pdb↓ PDB.pdb

Fig 4F

Example 3 — AFDB vs PDB

Third AFDB / PDB pair illustrating the limitation across structurally distinct domains.

Fig 4F — Example 3 — AFDB vs PDB

Fig 4F · structure assets

Paper-supplementary identifiers pending.

↓ fig4f_example3.pse↓ AFDB.pdb↓ PDB.pdb

Methods note

Sγ–Sγ geometric scanning uses a 2.5 Å cutoff between cysteine sulfurs to call a disulfide. Scanning AFDB-monomer models with the same cutoff recovers a small minority of PDB-annotated disulfides; relaxing the cutoff to 5 Å trades sensitivity for a high false-positive rate. The point of this page is not that AlphaFold is wrong — the residue-level conformations are reasonable — but that monomer geometry is the wrong inference layer for disulfide annotation, which is why TriCyp uses ESM2-3state predictions over geometric scanning for AFDB-source domains.