[Cell Research] Deep learning-based rapid generation of broadly reactive antibodies against SARS-CoV-2 and its Omicron variant
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Updated
Oct 31, 2025 - Python
[Cell Research] Deep learning-based rapid generation of broadly reactive antibodies against SARS-CoV-2 and its Omicron variant
An unofficial re-implementation of AntiBERTy, an antibody-specific protein language model, in PyTorch.
Associated code/pipeline for the publication "AI-assisted protein design to rapidly convert antibody sequences to intrabodies targeting diverse peptides and histone modifications"
The official implementation of "Improving Antibody Humanness Prediction using Patent Data".
Scripts to generate in silico antibody variants through in-place mutations across CDRs
Discovering species-specific sequence motifs in the complementary determining regions (CDRs) of Immunoglobulin G Antibodies using a Convolutional Neural Net.
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