Machine learning models for antibody sequences in PyTorch
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Updated
May 25, 2021 - Python
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.
PyTorch implementation of Parapred (Liberis et al., 2018) with Paratyping (Richardson et al., 2021)
Dataset with quantitative binding scores of scFv-format antibodies against SARS-CoV-2 target peptide
HybBCSeq is a suite of bioinformatics tools for the Hybridoma Barcoded Sequencing Workflow.
Qt interface of AbPyTools
An unofficial re-implementation of DeepAb, an interpretable deep learning model for antibody structure prediction.
PhD project Github repository
Helpful Scripts for Antibody NGS Data Processing
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