The BioF:GREAT initiative integrates cutting-edge Artificial Intelligence (AI) and Machine Learning (ML) techniques to accelerate discovery in glycoscience. By leveraging modern computational models, we enhance prediction, interpretation, and visualization of glycoenzymatic functions across the Tree of Life. Related Projects:

• Deep Learning Methods for glycoenzyme classification and function prediction
  • Mapping the glycosyltransferase fold landscape using interpretable deep learning (paper)
  • Application of protein language models for glycoenzyme classification and function prediction
  • Models for predicting site-specific heterogeneity
  • Discovering and characterizing understudied GTs across the Tree of Life
• Tools for Data Mining and Visualization
  • GTXplorer: a platform designed to facilitate evolutionary and functional analysis of GT-A fold glycosyltransferases (link)
  • Visual Query builder for knowledge graph mining