Glycoengineering (Claude Skill)

Claude skill that analyzes and engineers protein glycosylation — scans sequences for N-glycosylation sequons, predicts O-glycosylation sites, and orchestrates established glycan-analysis tools for therapeutic antibody and vaccine work.

   
Type Claude Skill
Supplier K-Dense Inc.
Availability GA — distributed via the K-Dense scientific-agent-skills collection
Pricing Free / OSS (skill source); some third-party tools it calls (e.g., NetOGlyc, NetNGlyc) have their own academic-use licences
Capabilities Read/Write — local sequence scanning and orchestration of external glycan-prediction tools

How to install

  • Claude Code / Claude.ai — Skills CLI (recommended): 
    npx skills add K-Dense-AI/scientific-agent-skills

    Installs the K-Dense collection; enable the glycoengineering skill when prompted (also works in Cursor/Codex via the Agent Skills spec; requires Node ≥ 18).

  • Claude Code / Claude Desktop — manual clone: 
    git clone https://github.com/K-Dense-AI/scientific-agent-skills
cp -r scientific-agent-skills/skills/glycoengineering ~/.claude/skills/

    The skill uses uv to install its Python dependencies on first invocation; install uv first (pipx install uv or per the uv install docs) so the skill can resolve its environment.

What it does

  • Scans protein sequences for N-glycosylation sequons (N-X-S/T, X ≠ P)
  • Predicts O-glycosylation hotspots (Ser/Thr-rich regions)
  • Wraps and orchestrates external glycan-analysis utilities:
    • NetNGlyc / NetOGlyc — N- and O-linked site prediction (DTU Health Tech)
    • GlycoShield — glycan-shielding analysis on glycoprotein structures
    • GlycoWorkbench — glycan-structure drawing and annotation
  • Suggests sequence edits to add or remove glycosylation sites (e.g., for Fc-region effector tuning, mucin-domain redesign)
  • Outputs annotated sequence reports usable as inputs to downstream protein-design or AlphaFold-Multimer runs

Primary use cases: therapeutic-antibody Fc engineering, glycoprotein developability assessment, vaccine-immunogen glycan-shield design, host-cell-line glyco-optimization for biologics manufacturing.

Notes

  • External-tool licences vary. NetNGlyc / NetOGlyc are free for academic use but require separate registration with DTU Health Tech for commercial use — the skill calls them but does not redistribute them.
  • Pure-Python orchestration; no API keys required for the core sequon-scanning paths.
  • Pairs naturally with the AlphaFold (Claude Skill) and PDB (Claude Skill) entries when assessing how engineered glycan changes affect structure.

Sources

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