Source instructions in README.md and repo scripts.
1---2name: mage3description: <!--4---5<!--6# COPYRIGHT NOTICE7# This file is part of the "Universal Biomedical Skills" project.8# Copyright (c) 2026 MD BABU MIA, PhD <md.babu.mia@mssm.edu>9# All Rights Reserved.10#11# This code is proprietary and confidential.12# Unauthorized copying of this file, via any medium is strictly prohibited.13#14# Provenance: Authenticated by MD BABU MIA1516-->1718---19name: mage-antibody-generator20description: Ab seq forge21keywords:22 - antibody23 - antigen24 - FASTA25 - generation26 - validation27measurable_outcome: Generate the requested number of antibody sequences (default ≥5) with metadata (model checkpoint, seed) and deliver FASTA files within 10 minutes.28license: MIT29metadata:30 author: MAGE Team31 version: "1.0.0"32compatibility:33 - system: Python 3.9+ / GPU34allowed-tools:35 - run_shell_command36 - read_file37---3839# MAGE (Monoclonal Antibody Generator)4041Run the MAGE antibody generation workflow to propose antigen-conditioned antibody sequences for downstream structural validation.4243## Workflow441. **Prep env:** `cd repo` and install dependencies, then point to GPU if available.452. **Run generator:** `python generate_antibodies.py --antigen_sequence <SEQ> --num_candidates N --output_dir ./results`.463. **Collect outputs:** Provide FASTA paths + metadata, optionally translate into JSON manifest.474. **Recommend validation:** Suggest AlphaFold/Rosetta checks and wet-lab follow-up.4849## Guardrails50- Never imply binding efficacy without structural/experimental confirmation.51- Track model version + seeds to ensure reproducibility.52- Encourage downstream filtering (liability motifs, developability metrics).5354## References55- Source instructions in `README.md` and repo scripts.565758<!-- AUTHOR_SIGNATURE: 9a7f3c2e-MD-BABU-MIA-2026-MSSM-SECURE -->
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BioTender-max (@biotender-max) published this skill. Their other Agent Skills are listed on their SkillMD profile.