PPIIMoL

PPIIMoL

PPIIMoL is a Python module for PyMOL that automates the detection of polyproline II (PPII) helices in proteins. It identifies PPII-like φ/ψ angle patterns, screens for plausible non-canonical Cα–H···O=C contacts, and provides one-click visualization and export.

This tool was developed as part of a Bachelor's Thesis in Computer Engineering in collaboration with the Protein Structure, Dynamics and Interactions by NMR Group at the Instituto de Química-Física “Blas Cabrera” (IQF-CSIC). The module’s design and validation take as a primary reference the data and architectonic principles reported by Segura Rodríguez & Laurents (2024) (see How to cite).

Scientific background

Polyproline II (PPII) helices are extended, left-handed motifs (≈3 residues/turn) typically enriched in glycine- and proline-rich domains. Although common in several glycine-rich bundles, they are often unannotated in PDB files. PPIIMoL automates their detection directly in PyMOL to improve speed and reproducibility.

Features

• 🔍 Automatic detection of PPII segments via phi/psi angle analysis.
• 🧬 Identification of Cα-H···O=C interactions relevant to structural stability.
• 📊 CSV export of detected segments and interactions.
• 🎨 Direct visualization in PyMOL with customizable color codes.
• 🖱️ Simple Tkinter-based GUI — no commands required; all actions are accessible via buttons.

Requirements

• PyMOL 2.x or newer.
• Python with Tkinter enabled (for the GUI).

Installation

Option A — Single-file download (simplest)

1. Download `PPIIMoL.py` from the repository (see Repository below).
2. In PyMOL:

run /full/path/to/PPIIMoL.py

Option B — Clone the repository

git clone https://github.com/silviaenma/PPIIMoL.git

Then in PyMOL:

run PPIIMoL/PPIIMoL.py

Optional: install as a plugin In PyMOL: Plugin → Plugin Manager → Install New Plugin → select `PPIIMoL.py` (or the whole folder) → restart PyMOL.

Usage (GUI)

Once loaded, PPIIMoL opens a Tkinter window with buttons to:

• Load PDB (or use an already-loaded object)
• Detect PPII (scan φ/ψ windows and list segments)
• Scan Cα–H···O=C (optional geometric screening)
• Style / Colors (apply the chosen palette)
• Export (CSV reports; optional per-segment PDBs)

Results are written to a date-stamped folder; selections/objects are created in the PyMOL session and colored according to the chosen scheme.

Example (command line, optional)

# Load the module
run /full/path/to/PPIIMoL.py
# or
run PPIIMoL/PPIIMoL.py

# Load a structure and trigger detection
fetch 3bog, async=0
ppii_detect()

Reference figures

Below are reference figures illustrating PPII bundle organization and residue patterns, reproduced with permission from Segura Rodríguez & Laurents (2024).

• 

  Figure 1. Overview of polyproline motifs.
  Reproduced with permission from Segura Rodríguez & Laurents (2024).

• 

  Figure 2. Snow flea antifreeze protein (HhAFP): six PPII helices in two layers, stabilized by disulfides and predominantly antiparallel.
  Reproduced with permission from Segura Rodríguez & Laurents (2024).

• 

  Figure 3. Granisotoma rainieri antifreeze protein (GrAFP): nine-helix PPII bundle arranged in two layers.
  Reproduced with permission from Segura Rodríguez & Laurents (2024).

• 

  Figure 4. Obg GTPase PPII domain: six PPII helices in two layers connected by variable segments.
  Reproduced with permission from Segura Rodríguez & Laurents (2024).

• 

  Figure 5. Carboxylases: compact bundles of short PPII helices; one helix surrounded by six neighbors; bundle largely buried.
  Reproduced with permission from Segura Rodríguez & Laurents (2024).

• 

  Figure 6. Bacteriophage S16 tail fiber tip (gp38): ten PPII helices; two fully glycine and fully surrounded; variable loops control host recognition.
  Reproduced with permission from Segura Rodríguez & Laurents (2024).

• 

  Figure 7. Human ALK extracellular glycine-rich domain: fourteen PPII helices; three nearly all-Gly; connectors range from short turns to longer elements.
  Reproduced with permission from Segura Rodríguez & Laurents (2024).

• 

  Figure 8. Quantitative trends:
  (A) Glycine content per PPII helix increases with number of neighbors.
  (B) Flanking segments enriched in small polar/turn-forming residues; cationic residues often near C-termini.
  Reproduced with permission from Segura Rodríguez & Laurents (2024).

GUI buttons

• Load PDB: Opens a file dialog (.pdb/.cif).
• Prepare structure: Optional cleanup (remove solvent/ligands, add hydrogens).
• Detect PPII: Scans backbone torsion angles (φ/ψ), creates selections (ppii_1, ppii_2, …) and colors them.
• Scan Cα–H···O=C: Searches plausible non-canonical contacts; cutoffs configurable.
• Style / Colors: Applies the selected color scheme.
• Export: Writes CSV reports (angles, contacts, detected segments).

Troubleshooting

• GUI does not appear → Ensure PyMOL build includes Tkinter.
• No segments detected → Check backbone completeness; relax φ/ψ windows.
• Too many contacts → Tighten cutoffs in Scan Cα–H···O=C.
• CSV/PDB not written → Verify write permissions.
• Emojis not visible → Cosmetic only.

How to cite

If PPIIMoL is useful in your work, please cite both the software and the reference article:

Software Rodríguez Fernández, S. E. (2025). PPIIMoL (version 1.1) [Computer software]. GitHub. https://github.com/silviaenma/PPIIMoL

Reference article Segura Rodríguez, C. M., & Laurents, D. V. (2024). Architectonic principles of polyproline II helix bundle protein domains. Archives of Biochemistry and Biophysics, 741, 109981. https://doi.org/10.1016/j.abb.2024.109981

Repository

GitHub: https://github.com/silviaenma/PPIIMoL

License

PPIIMoL is released under the GNU GPLv3.