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Updated: Aug 2, 2025

Bioinformatics Resources for the Study of Glycan-Mediated Protein Interactions
Published on: January 20, 2022
GlycoMME, a Markov modeling platform for studying N-glycosylation biosynthesis from glycomics data
Chenguang Liang1, Austin W T Chiang2, Nathan E Lewis1
1Department of Pediatrics, University of California, San Diego, La Jolla, San Diego, CA 92130, USA; Department of Bioengineering, University of California, San Diego, La Jolla, San Diego, CA 92130, USA.
None:
Variations in N-glycosylation, which is crucial to glycoprotein functions, impact many diseases and the safety and efficacy of biotherapeutic drugs. Here, we present a protocol for using GlycoMME (Glycosylation Markov Model Evaluator) to study N-glycosylation biosynthesis from glycomics data. We describe steps for annotating glycomics data and quantifying perturbations to N-glycan biosynthesis with interpretable models. We then detail procedures to predict the impact of mutations in disease or potential glycoengineering strategies in drug development. For complete details on the use and execution of this protocol, please refer to Liang et al. (2020).1.
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