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Glycoengineering Analysis

Scans protein sequences for N-/O-glycosylation sites and guides glycan engineering strategies for antibodies and vaccine antigens.

Data & AnalyticsAdvanced★ 33,030⑂ 3,248AI score 8/10Last updated: Aug 9, 2026

What it does

  • Scans an amino-acid sequence for canonical N-glycosylation sequons (N-X-S/T, X ≠ Pro) and reports 1-based positions, motif type (NXS/NXT) and flanking context.
  • Provides mutation helpers to remove a glycosite (Asn→Gln) or introduce a new sequon while fixing the +1 Pro and +2 S/T requirements.
  • Runs a heuristic O-glycosylation hotspot predictor based on local Ser/Thr density, skipping inhibitory TP/SP motifs.
  • Curates external tooling: NetNGlyc/NetOGlyc, GlycoShield-MD (with CLI usage), GlycoWorkbench, GlyConnect (with API query code), UniCarbKB, GlyTouCan.
  • Includes goal-oriented strategy tables (ADCC via defucosylation, half-life via sialylation, immunogenicity reduction, glycan shielding) plus common Fc mutations such as N297A/Q, N297D, T299A, S298A/E333A/K334A.

Who it's for

  • Biologics scientists optimizing Fc glycans on therapeutic antibodies
  • Vaccine antigen designers building glycan shields around conserved epitopes
  • Biosimilar analysts comparing glycan profiles against a reference product
  • Bioinformaticians automating glycoprotein site annotation

Example uses

  1. "Scan this IgG1 Fc sequence for all N-glycosylation sequons and flag N297" → site table with NXS/NXT counts.
  2. "Generate an aglycosyl variant by mutating Asn297 to Gln" → mutated sequence plus caveats.
  3. "Look up experimentally verified glycosylation for EGFR (P00533) in GlyConnect" → API call and per-site glycan summary.

· · · Install guide · · ·

Try it now, no install

Paste this into Claude to use the skill without installing anything.

Read the instructions in this file and follow them to help me:
https://raw.githubusercontent.com/K-Dense-AI/scientific-agent-skills/HEAD/skills/glycoengineering/SKILL.md

What I want: (describe your task here)

If Claude can't open the link, open it yourself and paste the contents instead.

↓ If it works for you, download the ZIP below and install it. Then it runs on its own — no pasting each time.

Install in the Claude app (no terminal)
  1. Download the ZIP with the button below.
  2. In Claude, open Settings → Capabilities and turn on 'Code execution and file creation'. (one time)
  3. Go to Customize → Skills → + → 'Upload a skill' and upload the ZIP.
↓ Download ZIP
Install in Claude Code

Let Claude do it — paste this into Claude Code

Install the skill I found on Claude Skill Mart.
Copy the skills/glycoengineering folder from the GitHub repo K-Dense-AI/scientific-agent-skills into my ~/.claude/skills/glycoengineering/.
When it's done, tell me in one line what this skill can do.

Install with a command instead

git clone https://github.com/K-Dense-AI/scientific-agent-skills.git && mkdir -p ~/.claude/skills && cp -r scientific-agent-skills/skills/glycoengineering ~/.claude/skills/

⚠ This is a third-party skill. Check the source repository before installing.

  1. Open a terminal (Terminal on macOS/Linux, WSL or Git Bash on Windows).
  2. Clone the repository: git clone https://github.com/K-Dense-AI/scientific-agent-skills.git
  3. Make sure the Claude skills folder exists: mkdir -p ~/.claude/skills
  4. Copy just this skill: cp -r scientific-agent-skills/skills/glycoengineering ~/.claude/skills/
  5. Install Python 3 and requests so the example snippets run: pip install requests (add uv pip install glycoshield only if you need MD shielding analysis).
  6. Restart Claude Code and ask something like "Find the N-glycosylation sequons in this protein sequence."
  7. Remember the predictions are computational; confirm sites with mass spectrometry or other experimental data before acting on them.
View source on GitHub ↗License: MIT