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.
npx skills add K-Dense-AI/scientific-agent-skills --skill glycoengineering --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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**:
- Overview
- When to Use This Skill
- N-Glycosylation Sequon Analysis
- Scanning for N-Glycosylation Sites
- Mutating N-Glycosylation Sites
- O-Glycosylation Analysis
- Heuristic O-Glycosylation Hotspot Prediction
- External Glycoengineering Tools
- 1. NetOGlyc 4.0 (O-glycosylation prediction)
- 2. GlycoShield-MD (Glycan Shielding Analysis)
- 3. GlycoWorkbench (Glycan Structure Drawing/Analysis)
- 4. GlyConnect (Glycan-Protein Database)
- 5. UniCarbKB (Glycan Structure Database)
- Key Glycoengineering Strategies
Installation uv pip install glycoshield Basic usage: analyze glycan shielding from glycosylated protein MD trajectory glycoshield \
What does the glycoengineering skill do?
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.
How do I install it?
Run `npx skills add K-Dense-AI/scientific-agent-skills --skill glycoengineering --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From K-Dense-AI/scientific-agent-skills, a repository with 32,619 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.