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glycobiology

Glycosylation site prediction and glycobiology analysis. N-glycosylation motif finding, O-glycosylation hotspot prediction, glycan structure resources. Lightweight, pure Python. For protein function queries use uniprot-database; for structure analysis use alphafold-database.

backend/cli/skills/biology/glycobiology/SKILL.md

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# Glycobiology: Glycosylation Analysis

## Overview

Glycobiology provides lightweight computational tools for predicting and analyzing glycosylation sites in protein sequences. This skill covers N-glycosylation sequon motif finding (N-X-S/T where X is not P), O-glycosylation hotspot prediction using a sliding window serine/threonine density heuristic, glycan structure tool references, and combined glycoprotein analysis with domain mapping. All analyses use pure Python with minimal dependencies (Biopython for sequence I/O, regex for pattern matching).

## When to Use This Skill

- Predicting N-glycosylation sites from protein sequences
- Identifying O-glycosylation hotspot regions
- Planning glycosylation site mutagenesis experiments
- Comparing predicted vs experimentally determined glycosylation sites
- Annotating glycosylation in biotherapeutic protein design
- Surveying glycan analysis tools for downstream structural studies