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ProteinScout

Every per-residue biophysical track in one run — and an ML layer that beats the raw scales.

Paste a protein sequence or a UniProt accession to map transmembrane helices, aggregation-prone regions, disorder, charge / pI, signal peptide and coiled-coils on a single axis. Published scales run instantly in your browser; the full server pipeline adds WALTZ-DB / DisProt / UniProt-trained ML models with honest held-out benchmarks.

checking backend…

What it does

  • Transmembrane helices + in/out topology (positive-inside rule)
  • Aggregation-prone regions (AGGRESCAN scale + WALTZ-DB amyloid ML)
  • Disorder, charge-hydropathy (Uversky), NCPR / FCR, MoRF hints
  • Signal peptide, coiled-coil, low-complexity, pI & net charge
  • Self-contained HTML report + an honest ML-vs-scale benchmark table

Who it's for

  • Protein engineers triaging aggregation
  • Structural / membrane biologists
  • Neurodegeneration & amyloid labs
  • Intrinsic-disorder (IDP) researchers
Sequence (raw / FASTA) or UniProt accession
examples: Aβ42 (amyloid) α-synuclein · P37840 bacteriorhodopsin · P02945 p53 · P04637 insulin · P01308
⚠ The live ML backend is not active right now. The instant in-browser analysis above still works. You can also see the validated example report, grab the code on GitHub, and run it locally:
python proteinscout.py analyze "DAEFRHDSGYEVHHQKLVFFAEDVGSNKGAIIGLMVGGVVIA"
Instant = published scales computed in your browser for fast feedback. Full ML analysis runs the real CPU-only pipeline on the server — the ML layer that beats the single-scale baselines (WALTZ-DB / DisProt / UniProt-trained, with held-out ROC-AUC), UniProt-annotation overlay, signal-peptide & coiled-coil prediction. No GPU, no model download, no alignment database. github.com/gianyrox/proteinscout · example report →