Model Name: GlycoBART Model Type: Transformer-based sequence-to-sequence generative model for glycan structure prediction Architecture: BART (Bidirectional and Auto-Regressive Transformers) Version: 1.0 Date: 6/25/2025
Model Description
GlycoBART is a transformer-based generative deep learning model trained to predict glycan structures from tandem mass spectrometry (MS/MS) data. GlycoBART performs conditional sequence generation, enabling de novo glycan structure inference. The model treats mass spectra as tokenized sequences ("MS sentences") and generates corresponding glycan structures as "Glycan sentences" in an autoregressive manner.
