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genpark-protein-secondary-structure-chou-fasman-skill

mcp
Guvenlik Denetimi
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SUMMARY

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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