Samuel W. Canner

The paper introduces two models, PiCAP and CAPSIF2, to predict protein-carbohydrate interactions at the protein and residue levels, achieving high accuracy and demonstrating substantial interplay across proteomes.

The paper evaluates deep learning models for predicting noncovalent protein-carbohydrate interactions using a new dataset and metric, finding comparable performance but declining accuracy with longer carbohydrates.

The paper identifies a relationship between protein structure and glycan structure, introducing a glycoimpact matrix to predict glycosylation patterns and validate it through disease variants and engineered antibodies.