[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

abcat is a Python CLI/library tool that uses ANARCII as a core dependency to perform integrated analysis of antibody heavy-chain and light-chain sequences, covering both variable domains (VH, VL) and constant domains (CH1, CH2, CH3, CL).

Discovering species-specific sequence motifs in the complementary determining regions (CDRs) of Immunoglobulin G Antibodies using a Convolutional Neural Net.