Can this skill help with antibody therapeutic optimization?

Yes, it provides specific strategies for modifying Fc glycosylation, such as defucosylation at Asn297 to enhance ADCC or sialylation to improve half-life.

Does it replace experimental laboratory verification?

No, it provides computational predictions and engineering designs that serve as a high-quality starting point which must be validated using mass spectrometry or glycoproteomics.

Which external bioinformatic databases does it support?

It provides workflows and integration patterns for GlyConnect, NetOGlyc, GlycoShield-MD, GlycoWorkbench, and UniCarbKB.

What protein motifs can this skill identify?

The skill primarily scans for the canonical N-X-[S/T] sequon (where X is not Proline) for N-linked glycosylation and uses local Ser/Thr density heuristics to predict O-glycosylation hotspots.

Glycoengineering & Glycoprotein Design

Name: Glycoengineering & Glycoprotein Design
Author: Yezez9

byYezez9

0•

Data Science & ML

Analyzes protein sequences for glycosylation sites and provides tools for the rational engineering of therapeutic proteins and vaccines.

The Glycoengineering skill empowers researchers to model and modify protein glycosylation, a critical post-translational modification affecting protein folding, stability, and immune recognition. It provides automated scanning for canonical N-glycosylation sequons, heuristic O-glycosylation hotspot prediction based on local S/T density, and expert guidance on mutating sites for antibody optimization, such as enhancing ADCC or increasing pharmacokinetic half-life. By integrating access to industry-standard tools like NetOGlyc, GlycoShield-MD, and GlyConnect, it streamlines the design process for biosimilars, vaccines, and therapeutic proteins directly within the Claude Code environment.

Key Features

01Integration guidance for external tools including NetOGlyc, GlycoShield, and GlyConnect

02Automated N-glycosylation sequon scanning (N-X-S/T motif identification)

03Heuristic O-glycosylation hotspot prediction and local density analysis

04Therapeutic antibody optimization workflows for Fc glycosylation and immunogenicity

050 GitHub stars

06Rational mutation strategies for glycosite elimination (Asn → Gln) or introduction

Use Cases

01Designing vaccine antigens with engineered glycan shields to mask vulnerable epitopes

02Comparing glycan patterns between reference proteins and biosimilars for characterization

03Optimizing therapeutic antibody Fc regions for enhanced immune response or stability

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add yezez9/research-agent glycoengineering

For use in Claude.ai and ChatGPT

Key Features

01Integration guidance for external tools including NetOGlyc, GlycoShield, and GlyConnect

02Automated N-glycosylation sequon scanning (N-X-S/T motif identification)

03Heuristic O-glycosylation hotspot prediction and local density analysis

04Therapeutic antibody optimization workflows for Fc glycosylation and immunogenicity

050 GitHub stars

06Rational mutation strategies for glycosite elimination (Asn → Gln) or introduction

Use Cases

01Designing vaccine antigens with engineered glycan shields to mask vulnerable epitopes

02Comparing glycan patterns between reference proteins and biosimilars for characterization

03Optimizing therapeutic antibody Fc regions for enhanced immune response or stability