glycoengineering

Analyze and engineer protein glycosylation. Scan sequences for N-glycosylation sequons (N-X-S/T), predict O-glycosylation hotspots, and access curated glycoengineering tools (NetOGlyc, GlycoShield, GlycoWorkbench). For glycoprotein engineering, therapeutic antibody optimization, and vaccine design.

By k-dense-ai · 1,387 installs

npx skills add k-dense-ai/scientific-agent-skills --skill glycoengineering

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Glycoengineering Overview Glycosylation is the most common and complex post translational modification (PTM) of proteins, affecting over 50% of all human proteins. Glycans regulate protein folding, stability, immune recognition, receptor interactions, and pharmacokinetics of therapeutic proteins. Glycoengineering involves rational modification of glycosylation patterns for improved therapeutic efficacy, stability, or immune evasion. Two major glycosylation types: N glycosylation : Attached to asparagine (N) in the sequon N X [S/T] where X ≠ Proline; occurs in the ER/Golgi O glycosylation : Attached to serine (S) or threonine (T); no strict consensus motif; primarily GalNAc initiation When to Use This Skill Use this skill when: Antibody engineering : Optimize Fc glycosylation for enhanced ADCC, CDC, or reduced immunogenicity Therapeutic protein design : Identify glycosylation sites that affect half life, stability, or immunogenicity Vaccine antigen design : Engineer glycan shields to focus immune responses on conserved epitopes Biosimilar characterization : Compare glycan patterns between reference and biosimilar Drug target analysis : Does glycosylation affect target engagement for a receptor? Protein stability : N glycans often stabilize proteins; identify sites for stabilizing mutations N Glycosylation Sequon Analysis Scanning for N Glycosylation Sites N glycosylation occurs at the sequon N X [S/T] where X ≠ Proline. Mutating N Glycosylation Sites O Glycosylation Analysis Heuristic O Glycosylation Hotspot Prediction External Glycoengineering Tools 1. NetOGlyc 4.0 (O glycosylation prediction) Web service for high accuracy O GalNAc site prediction: URL : https://services.healthtech.dtu.dk/services/NetOGlyc 4.0/ Input : FASTA protein sequence Output : Per residue O glycosylation probability scores Method : Neural network trained on experimentally verified O GalNAc sites 2. GlycoSHIELD (Glycan Shielding Analysis) GlycoSHIELD grafts libraries of pre simulated glycan conformers onto a static protein structure and scores how much of the protein surface the glycans shield, without running new MD (Tsai et al., Cell 2024, doi:10.1016/j.cell.2024.01.034): URL : https://gitlab.mpcdf.mpg.de/dioscuri biophysics/glycoshield md/ (web app: https://glycoshield.eu) Use : Model the glycan shield on a glycoprotein and map per residue shielding Output : Glycosylated PDB/XTC ensembles per site, per residue shielding plot, PDB with shielding in the B factor column GlycoSHIELD is not on PyPI — uv pip install glycoshield fails. It ships as three scripts on top of a small glycoshield package (needs numpy, scipy, matplotlib, MDAnalysis; GlycoSASA.py also needs gmx from GROMACS on PATH ). Install from the checkout: Illustrative: the flags come from the scripts' argparse definitions and the upstream tutorial (N cadherin EC5 with Man5 glycans); they were not run here. mode CG checks clashes against Cα atoms only and pairs with threshold 3.5 ; mode All with threshold 0.7 is the all atom setting. 3. GlycoWorkbench (Glycan Structure Drawing/Analysis) URL : https://www.eurocarbdb.org/project/glycoworkbench Use : Draw glycan structures, calculate masses, annotate MS spectra Format : GlycoCT, IUPAC condensed glycan notation 4. GlyConnect (Glycan Protein Database) URL : https://glyconnect.expasy.org/ Use : Find experimentally verified glycoproteins and glycosylation sites Query : By protein (UniProt ID), glycan structure, or tissue 5. UniCarbKB (Glycan Structure Database) URL : https://unicarbkb.org/ Use : Browse glycan structures, search by mass or composition Format : GlycoCT or IUPAC notation Key Glycoengineering Strategies For Therapeutic Antibodies Goal Strategy Notes Enhance ADCC Defucosylation at Fc Asn297 Afucosylated IgG1 has ~50× better FcγRIIIa binding Reduce immunogenicity Remove non human glycans Eliminate α Gal, NGNA epitopes Improve PK half life Sialylation Sialylated glycans extend half life Reduce inflammation Hypersialylation IVIG anti inflammatory mechanism Create glycan shield Add N glycosites to surface Masks vulnerable epitopes (vaccine design) Common Mutations Used Mutation Effect N297A/Q (IgG1) Removes Fc glycosylation (aglycosyl) N297D (IgG1) Removes Fc glycosylation S298A/E333A/K334A Increases FcγRIIIa binding F243L (IgG1) Increases defucosylation T299A Removes Fc glycosylation Glycan Notation IUPAC Condensed Notation (Monosaccharide abbreviations) Symbol Full Name Type Glc Glucose Hexose GlcNAc N Acetylglucosamine HexNAc Man Mannose Hexose Gal Galactose Hexose Fuc Fucose Deoxyhexose Neu5Ac N Acetylneuraminic acid (Sialic acid) Sialic acid GalNAc N Acetylgalactosamine HexNAc Complex N Glycan Structure Best Practices Start with NetNGlyc/NetOGlyc for computational prediction before experimental validation Verify with mass spectrometry : Glycoproteomics (Byonic, Mascot) for site specific glycan profiling Consider site context : Not all predicted sequons are actually glycosylated (accessibility, cell type, protein conformation) For antibodies : Fc N297 glycan is critical — always characterize this site first Use GlyConnect to check if your protein of interest has experimentally verified glycosylation data Additional Resources GlyTouCan (glycan structure repository): https://glytoucan.org/ GlyConnect : https://glyconnect.expasy.org/ CFG Functional Glycomics : http://www.functionalglycomics.org/ DTU Health Tech servers (NetNGlyc, NetOGlyc): https://services.healthtech.dtu.dk/ GlycoWorkbench : https://glycoworkbench.software.informer.com/ Review : Apweiler R et al. (1999) Biochim Biophys Acta. PMID: 10564035 Therapeutic glycoengineering review : Jefferis R (2009) Nature Reviews Drug Discovery. PMID: 19448661