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HBAT 2: A Python Package to analyse Hydrogen Bonds and Other Non-covalent Interactions in Macromolecular Structures

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HBAT

HBAT 2 (Hydrogen Bond Analysis Tool 2)

A Python package to automate the analysis of potential hydrogen bonds and similar type of weak interactions in macromolecular structures, available in Protein Data Bank (PDB) file format. HBAT 2 uses a geometric approach to identify molecular interactions by analyzing distance and angular criteria.

Supported Interaction Types:

  • Hydrogen Bonds: Classical N-H···O, O-H···O, and weak C-H···O interactions
  • Halogen Bonds: C-X···A interactions (X = Cl, Br, I)
  • π Interactions: X-H···π and C-X···π interactions with aromatic rings (Phe, Tyr, Trp, His, etc.)
  • π-π Stacking: Aromatic ring-ring interactions (parallel, T-shaped, offset)
  • Carbonyl Interactions: n→π* interactions between carbonyl groups
  • n-π Interactions: Lone pair interactions with aromatic π systems

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HBAT GUI

Background

HBAT 2 is a modern Python re-implementation of the original Perl-based tool developed by Abhishek Tiwari and Sunil Kumar Panigrahi. HBAT v1 can still be downloaded from SourceForge however Perl version is not maintained anymore.

Highlights of HBAT 2

  • Detect and analyze potential hydrogen bonds, halogen bonds, π interactions, π-π stacking, carbonyl interactions, and n-π interactions
  • Automated PDB fixing with OpenBabel and PDBFixer integration
  • Support graphical (tkinter), command-line, and programming API interfaces
  • Use graphical interfaces for interactive analysis, CLI/API for batch processing and automation
  • Cooperativity chain visualization using NetworkX/matplotlib and GraphViz
  • Export cooperativity chain visualizations to PNG, SVG, PDF formats
  • Built-in presets for different structure types (high-resolution, NMR, membrane proteins, etc.)
  • Customizable distance cutoffs, angle thresholds, and analysis modes.
  • Multiple Output Formats: Text, CSV, and JSON export options
  • Optimized algorithms for efficient analysis of large structures
  • Cross-Platform: Works on Windows, macOS, and Linux.

Cooperativity chain visualization

Please review HBAT documentation for more details.

Installation

Option 1: Install from PyPI (Recommended)

pip install hbat

Run HBAT Command-Line Interface (CLI) using hbat or launch HBAT GUI using hbat-gui.

Option 2: Install from Source

git clone https://github.com/abhishektiwari/hbat.git
cd hbat
pip install -e .

Alternatively,

pip install git+https://github.com/abhishektiwari/hbat.git

Run HBAT Command-Line Interface (CLI) using hbat or launch HBAT GUI using hbat-gui.

Option 3: Install from Conda

conda install -c hbat hbat

Requirements

System Requirements

  • Python: 3.9 or higher
  • tkinter: tkinter is included with Python standard library on most systems. However, on Mac install Python and tkinter using brew.
brew install python python3-tk
  • GraphViz (Optional): Required for advanced cooperativity chain visualization with high-quality graph rendering. HBAT will automatically fall back to NetworkX/matplotlib visualization if GraphViz is not available.

Install GraphViz:

On Ubuntu/Debian:

sudo apt-get update
sudo apt-get install graphviz

On macOS (using Homebrew):

brew install graphviz

On Windows:

  • Download and install from GraphViz official website
  • Or using Chocolatey: choco install graphviz
  • Or using conda: conda install -c conda-forge graphviz

Note: After installing GraphViz, restart your terminal/command prompt before running HBAT to ensure the GraphViz executables are available in your PATH.

Usage

Graphical Interface

Launch the GUI application:

hbat-gui

The GUI provides,

  • File browser for loading PDB files
  • Parameter configuration panels
  • Tabbed results display
  • Export and visualization options

Command-Line Interface

Basic usage:

hbat input.pdb

Output Format Options

HBAT supports multiple output formats:

# No output flag - displays results to console
hbat input.pdb                    # Display results to console

# Single file outputs (format auto-detected from extension)
hbat input.pdb -o results.txt     # Text format (human-readable summary + details)
hbat input.pdb -o results.json    # JSON format (single file with all interactions)

# Multiple file outputs (separate files per interaction type)
hbat input.pdb --csv results      # Creates results_h_bonds.csv, results_x_bonds.csv, etc.
hbat input.pdb --json results     # Creates results_h_bonds.json, results_x_bonds.json, etc.

With custom parameters:

hbat input.pdb -o results.txt --hb-distance 3.0 --mode local

List Available Presets

hbat --list-presets

Use a specific preset

hbat protein.pdb --preset high_resolution
hbat membrane_protein.pdb --preset membrane_proteins

Use preset with custom overrides

hbat protein.pdb --preset drug_design_strict --hb-distance 3.0 --verbose

CLI Options

positional arguments:
  input                 Input PDB file

optional arguments:
  -h, --help            show this help message and exit
  -o OUTPUT, --output OUTPUT
                        Output file (format auto-detected from extension: .txt, .json)
  --json JSON           Export to multiple JSON files (base name for files)
  --csv CSV             Export to multiple CSV files (base name for files)

Preset Options:
  --preset PRESET       Load parameters from preset file (.hbat or .json)
  --list-presets        List available example presets and exit

Analysis Parameters:
  Hydrogen Bond Parameters:
  --hb-distance HB_DISTANCE
                        Hydrogen bond H...A distance cutoff in Å (default: 2.5)
  --hb-angle HB_ANGLE   Hydrogen bond D-H...A angle cutoff in degrees (default: 120)
  --da-distance DA_DISTANCE
                        Donor-acceptor distance cutoff in Å (default: 3.5)

  Halogen Bond Parameters:
  --xb-distance XB_DISTANCE
                        Halogen bond X...A distance cutoff in Å (default: 3.9)
  --xb-angle XB_ANGLE   Halogen bond C-X...A angle cutoff in degrees (default: 150)

  π Interaction Parameters:
  --pi-distance PI_DISTANCE
                        π interaction H...π distance cutoff in Å (default: 3.5)
  --pi-angle PI_ANGLE   π interaction D-H...π angle cutoff in degrees (default: 110)

  π-π Stacking Parameters:
  --pi-pi-distance PI_PI_DISTANCE
                        π-π centroid-to-centroid distance cutoff in Å (default: 3.8)
  --pi-pi-parallel-angle PI_PI_PARALLEL_ANGLE
                        Maximum angle for parallel π-π stacking in degrees (default: 30.0)
  --pi-pi-tshaped-angle-min PI_PI_TSHAPED_ANGLE_MIN
                        Minimum angle for T-shaped π-π stacking in degrees (default: 60.0)
  --pi-pi-tshaped-angle-max PI_PI_TSHAPED_ANGLE_MAX
                        Maximum angle for T-shaped π-π stacking in degrees (default: 90.0)
  --pi-pi-offset PI_PI_OFFSET
                        Maximum lateral offset for parallel π-π stacking in Å (default: 2.0)

  Carbonyl Interaction Parameters (n→π*):
  --carbonyl-distance CARBONYL_DISTANCE
                        Carbonyl O···C distance cutoff in Å (default: 3.2)
  --carbonyl-angle-min CARBONYL_ANGLE_MIN
                        Minimum O···C=O angle for carbonyl interactions in degrees (default: 95.0)
  --carbonyl-angle-max CARBONYL_ANGLE_MAX
                        Maximum O···C=O angle for carbonyl interactions in degrees (default: 125.0)

  n→π* Interaction Parameters:
  --n-pi-distance N_PI_DISTANCE
                        Lone pair to π center distance cutoff in Å (default: 3.6)
  --n-pi-sulfur-distance N_PI_SULFUR_DISTANCE
                        Sulfur-specific distance cutoff in Å (default: 4.0)
  --n-pi-angle-min N_PI_ANGLE_MIN
                        Minimum angle to π plane in degrees (default: 0.0)
  --n-pi-angle-max N_PI_ANGLE_MAX
                        Maximum angle to π plane in degrees (default: 45.0)

  General Parameters:
  --covalent-factor COVALENT_FACTOR
                        Covalent bond detection factor (default: 0.85)
  --mode {complete,local}
                        Analysis mode: complete (all interactions) or local (intra-residue only)

Output Control:
  --verbose, -v         Verbose output with detailed progress
  --quiet, -q           Quiet mode with minimal output
  --summary-only        Output summary statistics only

Analysis Filters:
  --no-hydrogen-bonds   Skip hydrogen bond analysis
  --no-halogen-bonds    Skip halogen bond analysis
  --no-pi-interactions  Skip π interaction analysis
  --no-pi-pi-stacking   Skip π-π stacking analysis
  --no-carbonyl-interactions
                        Skip carbonyl n→π* interaction analysis
  --no-n-pi-interactions
                        Skip n→π* interaction analysis

Example Notebooks

Interactive Jupyter notebooks demonstrating HBAT usage with 3D visualizations using Py3DMol.

Notebook Description Colab
01_analyze_6rsa_with_visualization.ipynb Hydrogen bond analysis of 6RSA (Ribonuclease A) with py3Dmol visualization Open In Colab
02_halogen_bonds_4x21.ipynb Halogen bond detection and visualization in 4X21 structure Open In Colab
03_pdbfixer_vs_openbabel_comparison.ipynb Comparing PDBFixer vs OpenBabel for hydrogen addition Open In Colab

Halogen Bonds in PDB Entry 4x21

See the notebooks directory for more details.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Cite HBAT and HBAT 2

If you use HBAT or HBAT 2 in your research, please cite:

@article{tiwari2007hbat,
author = {Tiwari, Abhishek and Panigrahi, Sunil Kumar},
doi = {10.3233/ISI-2007-00337},
journal = {In Silico Biology},
month = dec,
number = {6},
title = {{HBAT: A Complete Package for Analysing Strong and Weak Hydrogen Bonds in Macromolecular Crystal Structures}},
volume = {7},
year = {2007}
}
@misc{tiwari_2025_17645321,
  author       = {Tiwari, Abhishek},
  title        = {HBAT 2: A Python Package to analyse Hydrogen Bonds and Other Non-covalent Interactions in Macromolecular Structures},
  month        = nov,
  year         = 2025,
  publisher    = {Zenodo},
  doi          = {10.5281/zenodo.17645321},
  url          = {https://doi.org/10.5281/zenodo.17645321},
}

Contributing

See our contributing guide and development guide. At a high-level,

  1. Fork the repository
  2. Create a feature branch
  3. Make your changes
  4. Add tests if applicable
  5. Submit a pull request

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HBAT 2: A Python Package to analyse Hydrogen Bonds and Other Non-covalent Interactions in Macromolecular Structures

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