MAGE

<!-- # COPYRIGHT NOTICE # This file is part of the "Universal Biomedical Skills" project. # Copyright (c) 2026 MD BABU MIA, PhD <[email protected]> # All Rights Reserved. # # This code is proprietary and confidential. # Unauthorized copying of this file, via any medium is strictly prohibited. # # Provenance: Authenticated by MD BABU MIA -->

---

name: mage-antibody-generator description: Ab seq forge keywords:

• antibody
• antigen
• FASTA
• generation
• validation measurable_outcome: Generate the requested number of antibody sequences (default ≥5) with metadata (model checkpoint, seed) and deliver FASTA files within 10 minutes. license: MIT metadata: author: MAGE Team version: "1.0.0" compatibility:
• system: Python 3.9+ / GPU allowed-tools:
• run_shell_command
• read_file

---

MAGE (Monoclonal Antibody Generator)

Run the MAGE antibody generation workflow to propose antigen-conditioned antibody sequences for downstream structural validation.

Workflow

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.

Guardrails

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

References

• Source instructions in README.md and repo scripts.

<!-- AUTHOR_SIGNATURE: 9a7f3c2e-MD-BABU-MIA-2026-MSSM-SECURE -->