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mage-antibody-generator

Maintainer FreedomIntelligence · Last updated April 1, 2026

MAGE antibody generator: sequence design, humanization, affinity maturation.

OpenClawNanoClawAnalysisReproductionmage-antibody-generator🧠 bioos extended suitedrug discovery & designmage

Original source

FreedomIntelligence/OpenClaw-Medical-Skills

https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/mage-antibody-generator

Maintainer
FreedomIntelligence
License
MIT
Last updated
April 1, 2026

Skill Snapshot

Key Details From SKILL.md

2 min

Key Notes

  • Run the MAGE antibody generation workflow to propose antigen-conditioned antibody sequences for downstream structural validation.
  • 1. Prep env: cd repo and install dependencies, then point to GPU if available. 2. Run generator: python generate_antibodies.py --antigen_sequence <SEQ> --num_candidates N --output_dir./results. 3. Collect outputs: Provide FASTA paths + metadata, optionally translate into JSON manifest. 4. Recommend validation: Suggest AlphaFold/Rosetta checks and wet-lab follow-up.

Source Doc

Excerpt From SKILL.md

Guardrails

  • Never imply binding efficacy without structural/experimental confirmation.
  • Track model version + seeds to ensure reproducibility.
  • Encourage downstream filtering (liability motifs, developability metrics).

Use cases

  • Use mage-antibody-generator in research workflows aligned with this subject area.
  • Follow the upstream documentation for the full working procedure.

Not for

  • Do not rely on this catalog entry alone for installation or maintenance details.

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