Yujie Zhang

Decoding glycosylation potential from protein structure across human glycoproteins with a multi-view recurrent neural network

The paper trains a hybrid neural network to predict N-glycosylation events and structures from protein sequences using glycosite-flanking data, demonstrating its ability to predict glycan composition and abundance.

Protein structure, a genetic encoding for glycosylation

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.

Preparing glycomics data for robust statistical analysis with GlyCompareCT

GlyCompareCT preprocesses glycomics data to address sparsity and non-independence, improving statistical power for downstream analysis.

A consensus-based and readable extension of Linear Code for Reaction Rules (LiCoRR)

This paper extends Linear Code to represent reaction rules in glycobiology, aiming to improve consistency and interoperability in glycan synthesis models.