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PandaMap-Color: Protein-Ligand Interaction Mapper with customizable color schemes
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PandaMap-Color: A versatile tool for protein-ligand interaction visualization with customizable color schemes.
PandaMap-Color is a powerful Python package for visualizing protein-ligand interactions in 2D with customizable color schemes. Generate publication-quality interaction diagrams directly from PDB files with minimal configuration.
- Stunning Visualizations: Create detailed, publication-ready 2D diagrams of protein-ligand interactions
- Multiple Color Schemes: Choose from several pre-defined color schemes (Default, Colorblind-friendly, Monochrome, Dark mode, Publication-ready)
- Customizable Appearance: Easily modify colors and styling to match your publication or presentation needs
- Automatic Interaction Detection: Identifies hydrogen bonds, π-π stacking, hydrophobic interactions, and more
- Intuitive Representation: Clearly shows interaction types between protein residues and ligands
- Command Line Interface: Simple to use in scripts or from the terminal
pip install pandamap-color
PandaMapColor: Visualize protein-ligand interactions from PDB files withcustomizable styling and coloring options.pandamap-color -husage: pandamap-color [-h] [--output OUTPUT] [--ligand LIGAND] [--dpi DPI] [--title TITLE] [--color-scheme {default,colorblind,monochrome,dark,publication}] [--custom-colors CUSTOM_COLORS] [--simple-styling] [--no-color-by-type] [--jitter JITTER] [--h-bond-cutoff H_BOND_CUTOFF] [--pi-stack-cutoff PI_STACK_CUTOFF] [--hydrophobic-cutoff HYDROPHOBIC_CUTOFF] [--figsize FIGSIZE FIGSIZE] [--generate-report] [--report-file REPORT_FILE] [--use-dssp] [--show-directionality] [--ionic-cutoff IONIC_CUTOFF] [--halogen-cutoff HALOGEN_CUTOFF] pdb_filePandaMap-Color: Visualize protein-ligand interactions from PDB files with customizable styling and coloring options.positional arguments: pdb_file Path to PDB file with protein-ligand complexoptions: -h, --help show thishelp message andexit --output OUTPUT, -o OUTPUT Output image file path --ligand LIGAND, -l LIGAND Specific ligand residue name to analyze --dpi DPI Image resolution (default: 300 dpi) --title TITLE, -t TITLE Custom titlefor the visualization --color-scheme {default,colorblind,monochrome,dark,publication}, -c {default,colorblind,monochrome,dark,publication} Color scheme to use (default: default) --custom-colors CUSTOM_COLORS Path to JSON file with custom color scheme --simple-styling Use simple styling instead of enhanced effects --no-color-by-type Disable coloring residues by amino acidtype --jitter JITTER Amount of positional randomization (0.0-1.0)for more natural look --h-bond-cutoff H_BOND_CUTOFF Distance cutoffforhydrogen bondsin Angstroms --pi-stack-cutoff PI_STACK_CUTOFF Distance cutoffforpi-stacking interactionsin Angstroms --hydrophobic-cutoff HYDROPHOBIC_CUTOFF Distance cutoffforhydrophobic interactionsin Angstroms --figsize FIGSIZE FIGSIZE Figure sizein inches (width height) --generate-report Generate a detailed interaction report --report-file REPORT_FILE Pathfor the interaction report (default:<pdb_name>_interactions_report.txt) --use-dssp Use DSSPfor solvent accessibility calculationif available --show-directionality Show interaction directionality with arrows --ionic-cutoff IONIC_CUTOFF Distance cutoffforionic interactionsin Angstroms --halogen-cutoff HALOGEN_CUTOFF Distance cutoffforhalogen bondsin Angstroms
# Basic usagepandamap-color path/to/complex.pdb -o output_image.png# Specify ligand residue name (if multiple ligands in file)pandamap-color path/to/complex.pdb --ligand LIG -o output_image.png# Change color schemepandamap-color path/to/complex.pdb --color-scheme publication -o output_image.pngpandamap-color path/to/complex.pdb --color-scheme monochrome -o output_image.pngpandamap-color path/to/complex.pdb --color-scheme colorblind -o output_image.pngpandamap-color path/to/complex.pdb --color-scheme dark -o output_image.png#Jitterpandamap-color path/to/complex.pdb --jitter 0.3 --color-scheme publication -o output_image.png#Report filepandamap-color path/to/complex.pdb --color-scheme publication -o output_image.png --generate-report
=============================================================================PandaMap-Color Interaction Report
Ligand: PFL:D:601Name: PFLType: LIGANDFile: complex.pdb
Interacting Chains: D, CInteracting Residues: 13Solvent Accessible Residues: 6
Interaction Summary:Hydrogen Bonds: 1Hydrophobic Interactions: 4π-π Stacking: 1Carbon-π Interactions: 1Donor-π Interactions: 1Amide-π Interactions: 2Alkyl-π Interactions: 7
Hydrogen Bonds:
- ILE228D -- 2.75Å -- PFL
Hydrophobic Interactions:
- MET286C -- 3.89Å -- PFL
- LEU285C -- 3.95Å -- PFL
- PHE289C (Solvent accessible) -- 3.61Å -- PFL
- MET236D (Solvent accessible) -- 3.55Å -- PFL
π-π Stacking:
- PHE289C (Solvent accessible) -- 3.61Å -- PFL
Carbon-π Interactions:
- PHE289C (Solvent accessible) -- 3.61Å -- PFL
Donor-π Interactions:
- ASP282C (Solvent accessible) -- 3.75Å -- PFL
Amide-π Interactions:
- ASN265C (Solvent accessible) -- 3.69Å -- PFL
- GLN229D (Solvent accessible) -- 3.35Å -- PFL
Alkyl-π Interactions:
- MET286C -- 3.89Å -- PFL
- ILE228D -- 4.06Å -- PFL
- LEU232D -- 4.01Å -- PFL
- PRO233D -- 4.03Å -- PFL
- LEU285C -- 3.95Å -- PFL
- MET261C -- 5.02Å -- PFL
- MET236D (Solvent accessible) -- 3.55Å -- PFL
=============================================================================
# Helppandamap-color --help
frompandamap_colorimportPandaMapColor# Create a mapper instancemapper=PandaMapColor(pdb_file="path/to/complex.pdb",ligand_resname="LIG",# Optional: specify ligand residue namecolor_scheme="default",use_enhanced_styling=True)# Detect interactionsmapper.detect_interactions()# Identify solvent-accessible residuesmapper.estimate_solvent_accessibility()# Generate visualizationmapper.visualize(output_file="interaction_diagram.png")
PandaMap-Color comes with multiple built-in color schemes:
default
: Standard vibrant colorscolorblind
: Colorblind-friendly palettemonochrome
: Grayscale for simple publicationsdark
: Dark background for presentationspublication
: Clean style for scientific publications
You can define custom color schemes using JSON:
importjsonfrompandamap_colorimportPandaMapColor# Define a custom color schemecustom_colors= {"element_colors": {"C":"#333333","N":"#3060F0","O":"#FF2010",# Add more elements... },"interaction_styles": {"hydrogen_bonds": {"color":"#2E8B57","linestyle":"-",# More styling options... },# More interaction types... }}# Save to a file (optional)withopen("my_colors.json","w")asf:json.dump(custom_colors,f,indent=2)# Use with the mappermapper=PandaMapColor(pdb_file="path/to/complex.pdb",color_scheme=custom_colors# Pass the dictionary directly)# Or load from filemapper=PandaMapColor(pdb_file="path/to/complex.pdb",color_scheme="my_colors.json"# Or path to JSON file)
For detailed documentation, see:
PandaMap-Color is organized into modular components:
- pandamap.py: Main
PandaMapColor
class for protein-ligand interaction analysis - visualization.py: Visualization functionality for creating beautiful diagrams
- ligand.py: Ligand structure representation and 2D projection
- colorschemes.py: Pre-defined color schemes and customization utilities
- cli.py: Command-line interface
- utils.py: Utility functions and helper classes
- Python 3.7+
- NumPy
- Matplotlib
- BioPython
If you use PandaMap-Color in your research, please cite:
Pritam Kumar Panda. (2025). PandaMap-Color: A versatile tool for protein-ligand interaction visualization with customizable color schemes.
This project is licensed under the MIT License - see theLICENSE file for details.
Contributions are welcome! Please feel free to submit a Pull Request.
- Fork the repository
- Create your feature branch (
git checkout -b feature/amazing-feature
) - Commit your changes (
git commit -m 'Add some amazing feature'
) - Push to the branch (
git push origin feature/amazing-feature
) - Open a Pull Request
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PandaMap-Color: Protein-Ligand Interaction Mapper with customizable color schemes
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