Sequence Learning with Antigen-Nonobody Generation (SLANG)
PI: Abdullah Shouaib
We introduce SLANG, a machine-learning method designed to produce nanobodies directly from antigen sequences. By integrating foundational protein language models with specialized transformer decoders and fine-tuning, our system achieves advanced performance in predicting novel nanobodies from specified antigen sequences.