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Fold Watch

Paste a protein sequence. Get structure prediction, misfolding risk, aggregation hotspots, and drug strategy. Runs in your browser — your data never leaves your machine.

WATCH ONE ACTUALLY FOLD
Loading a real protein…

This is real physics, not an animation drawn to look right — the actual coordinates this sequence settles into, sampled as it happens. Same computation as the tool below, just slowed down so you can see it.

PASTE PROTEIN SEQUENCE (example: human hemoglobin α-chain — or paste from UniProt)
Loading runtime...
Results will appear here. Paste any protein sequence and press Analyze.
Everything is free. If this helped → support GUMP

WHAT IT DOES

Structure
Radius of gyration, fold class, Chou-Fasman secondary structure with nucleation
Risk
Per-residue aggregation propensity, burial-aware scoring, polyQ/prion detection
Strategy
CHARGE (amyloid), HYDROPHOBIC (IDP), STABILIZE (unstable fold)
Speed
Milliseconds per protein. 66,563/sec single-thread C (insulin). Your laptop is enough.

HOW IT WORKS

Chou-Fasman secondary structure with nucleation rules (helices need 4+ consecutive high-propensity residues). TANGO-like aggregation scoring per residue (charged residues suppress aggregation). Flory scaling for Rg with fold-class corrections. No training data — pure physics.

INSTALL

pip install begump
from gump.foldwatch import analyze, fold, water_fold_batch, keystones

# Analyze sequence r = analyze("MVLSPADKTNVKAAWGKVGAH...")
print(r['misfolding_risk'])  # low / medium / high

# Batch folding (66,563/sec single-thread C) results = water_fold_batch(["FVNQHLCGS..."] * 10000)

# Find structural keystones (destabilization targets) k = keystones("FVNQHLCGSHLVEALYLVCGERGFFYTPKT")
print(k['keystones'][0])  # highest-impact residue

Your data stays on your machine. No cloud. No API keys. Deterministic.