genpark-protein-secondary-structure-chou-fasman-skill
mcp
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Chou-Fasman statistical conformational propensity predictor for protein secondary structure (helix, sheet, coil)
README.md
Chou-Fasman Protein Secondary Structure Predictor Skill
Conformational parameter-based heuristic algorithm for classifying amino acid segments into alpha-helices, beta-sheets, or random coils.
flowchart LR
Residue["Residue Sequence (e.g. MKAAVVD)"] --> Propensities["P(α) & P(β) Conformational Propensities"]
Propensities --> Segment["Windowed Statistical Evaluation"]
Segment --> Classify["Classify State: H (Helix), E (Sheet), C (Coil)"]
Features
- 100% Python Standard Library: Canonical statistical tables.
- Fast Sequence Scanning: Linear-time scanning across peptide chains.
- Rich Output Details: Full numerical propensities per residue.
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