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glycoengineering

Scan protein sequences for N-glycosylation sequons and predict O-glycosylation hotspots.

4|Updated Mar 2, 2026
Search Tags:#protein engineering#glycosylation#therapeutic antibodies#N-glycosylation#O-glycosylation#vaccine design#sequon scanning
One-click install
npx skills add https://github.com/shushuzn/Rairos --skill glycoengineering-shushuzn
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: glycoengineering
Source: https://github.com/shushuzn/Rairos/tree/main/skills/glycoengineering
Command: npx skills add https://github.com/shushuzn/Rairos --skill glycoengineering-shushuzn

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Glycoengineering helps researchers identify and redesign protein glycosylation patterns to improve properties like stability, immunogenicity, and therapeutic efficacy.

Core Features & Use Cases

  • N-glycosylation sequon scanning: Detects canonical N-X-S/T motifs (excluding X=Proline) and reports per-site context and counts by S vs T.
  • O-glycosylation hotspot prediction: Provides a fast, heuristic baseline by flagging Ser/Thr-rich segments while disallowing Ser/Thr followed by proline.
  • Targeted site engineering helpers: Supports sequence edits to eliminate N-glycosylation sites (Asn→Gln) or introduce new N-glycosylation sequons with motif constraints.
  • Therapeutic and research planning guidance: Maps analysis outcomes to common antibody, vaccine, and therapeutic protein glycoengineering goals, including typical Fc site considerations.

Quick Start

Provide the protein sequence (FASTA or raw sequence) and ask the assistant to (1) list all N-glycosylation sequons with positions and motifs and (2) predict O-glycosylation hotspots using the heuristic window and threshold.

Frequently Asked Questions about glycoengineering

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I scan a protein sequence for N-glycosylation sequons?▼

To scan for N-glycosylation sequons, provide a protein sequence in FASTA or raw format. The tool identifies canonical N-X-S/T motifs, excludes proline at the X position, and reports per-site context and counts by Serine versus Threonine.

How do I predict O-glycosylation hotspots in a therapeutic antibody?▼

Predict O-glycosylation hotspots by providing your antibody protein sequence. The tool flags Ser/Thr-rich segments using a heuristic window scoring method, while disallowing Ser/Thr-Pro motifs, providing a fast baseline prediction.

Can I engineer protein sequences to add or eliminate N-glycosylation sites?▼

Yes, you can engineer N-glycosylation sites. The tool supports targeted sequence edits to eliminate existing sites via Asn to Gln mutations or introduce new N-glycosylation sequons while enforcing canonical motif constraints.

What is the best way to optimize Fc glycosylation for therapeutic antibodies?▼

To optimize Fc glycosylation for therapeutic antibodies, scan your protein sequence to identify N-glycosylation sequons and predict O-glycosylation hotspots. The tool maps analysis outcomes to common antibody Fc site considerations.

How does sequon scanning handle S/T-Pro motifs during glycosylation site discovery?▼

During glycosylation site discovery, sequon scanning explicitly avoids S/T-Pro motifs. The heuristic scoring window flags Ser/Thr-rich segments for O-glycosylation prediction while disallowing any Serine or Threonine directly followed by proline.

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