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lingxling/scientific-agent-skills

v2.72.0MIT

Ready-to-use scientific and research Agent Skills for biology, chemistry, medicine, and related workflows.

glycoengineering

Analyzes and engineers protein glycosylation by scanning canonical N-glycosylation sequons, describing S/T-rich regions, checking curated glycan evidence, and preparing NetNGlyc, NetOGlyc and GlycoSHIELD workflows. Use for glycoprotein engineering, antibody Fc glycosylation, glycan shielding, and site-specific glycoproteomics interpretation.

Version
1.4
License
Unknown
Compatibility
Local sequence helpers require Python 3.10+. Public GlyTouCan lookup requires requests and network access. DTU predictors use a browser; optional GlycoSHIELD needs a separate source installation, glycan libraries, and GROMACS for SASA analysis.
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