Kelley W. Moremen

The paper uses CRISPR activation screens to identify proteoglycan core proteins, particularly SDC1, as key regulators of heparan sulfate sulfation and ligand specificity.

This study shows B3GNT7 regulates colonic mucus glycosylation, protects against colitis and infection, and has a distinct function from other B3GNT family members.

Glydentify predicts donor substrates for glycosyltransferases using deep learning, achieving high accuracy and providing explainable insights into enzyme-substrate relationships.

JAAG simplifies creating AlphaFold 3 JSON input files for glycan and macromolecule modeling by providing a web-based interface to reduce manual errors.

The paper characterizes two GT61 enzymes in Sorghum bicolor, identifies their functions in xylan modification, and identifies a residue critical for sugar donor specificity through structural and biochemical analysis.

This study shows that exofucosylation of T cells enhances their homing and therapeutic efficacy in treating solid tumors and metastases.

This paper uses sulfotransferase substrate specificities to enzymatically synthesize keratan sulfate oligosaccharides and investigates their binding properties with lectins and viral proteins.

The study shows the PAN domain in G-type lectin receptor-like kinases suppresses JA/ET defense pathways in plants by promoting receptor degradation.

The paper constructs an HMO biosynthesis network using multi-omics integration to predict glycosyltransferases and propose candidate genes for HMO synthesis pathways.

This paper introduces a deep learning model to predict glycosyltransferase folds using secondary structure features, identifying novel fold families and improving fold classification.

The paper uses evolutionary analysis of GT-A fold sequences to identify core components and hypervariable loops contributing to catalytic diversity, and develops a machine learning classifier for donor specificity prediction.