Metadata-Version: 2.4
Name: mAbLab
Version: 1.0.95
Summary: A library for analyzing monoclonal antibody characteristics by domain.
Home-page: https://github.com/PaulNobrega/mAbLab
Author: R. Paul Nobrega
Author-email: paul@paulnobrega.net
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: antpack
Requires-Dist: biopython
Requires-Dist: numpy
Requires-Dist: Levenshtein
Requires-Dist: ImmuneBuilder
Requires-Dist: pandas
Requires-Dist: scipy
Requires-Dist: torch
Requires-Dist: torchaudio
Requires-Dist: torchvision
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: license-file
Dynamic: requires-dist
Dynamic: requires-python
Dynamic: summary

# mAbLab

`mAbLab` is a Python library for analyzing monoclonal antibody (mAb) characteristics with domain granularity.

## Features
- Analyze VL, VC, VH, CH1, CH2, CH3, Fab, LC, HC, Fc, andHinge domains of antibodies.
- Calculate protein properties such as molecular weight, isoelectric point, and extinction coefficients.
- Annotate CDR regions and infer germline genes.
- number sequences with Kabat, Martin, IMGT numbering schemes

## Installation
Install the library using pip:
```bash
pip install mAbLab
```

## Usage
```python
import mAbLab

# Example sequences
hc_sequence = "EVQLVESGGGLVQPGRSLRLSCAASGFTFDDYAMHW..."
lc_sequence = "DIQMTQSPSSLSASVGDRVTITCRASQGIRNYLAW..."

# Create a Mab object
mab = mAbLab.Mab(hc1_aa_sequence=hc_sequence, lc1_aa_sequence=lc_sequence)

# Access Fab properties
print(mab.fab1.properties.charge_at_ph(6))
```

## License
This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.
