Machine learning models for antibody sequences in PyTorch

Python package for analysis of antibody heavy and light chains

An unofficial re-implementation of AntiBERTy, an antibody-specific protein language model, in PyTorch.

Tools for annotation, processing and ML for antibody sequences

Dataset with quantitative binding scores of scFv-format antibodies against SARS-CoV-2 target peptide

PyTorch implementation of Parapred (Liberis et al., 2018) with Paratyping (Richardson et al., 2021)

HybBCSeq is a suite of bioinformatics tools for the Hybridoma Barcoded Sequencing Workflow.

An unofficial re-implementation of DeepAb, an interpretable deep learning model for antibody structure prediction.

Qt interface of AbPyTools

PhD project Github repository

Toolbox and workflow for annotating the variable antibody region of denovo sequenced peptides

Helpful Scripts for Antibody NGS Data Processing