ID: biomedical.drug_discovery.antibody_design
Version: 1.1.0
Status: Integrated & Downloaded
Category: Drug Discovery / Antibody Design
MAGE is a protein language model for generating monoclonal antibody sequences conditioned on an antigen. It accelerates early antibody discovery by proposing candidate variable regions for downstream validation.
| Field | Type | Notes |
|---|---|---|
antigen_sequence |
str | Amino acid sequence (FASTA or raw) |
num_candidates |
int | Number of sequences to generate |
output_dir |
str | Path to save FASTA outputs |
- FASTA files containing candidate antibody sequences
- Optional metadata (model checkpoint, seed, generation parameters)
cd repo
python generate_antibodies.py --antigen_sequence "YOUR_ANTIGEN_SEQ" --output_dir ./results- Generated sequences require structural validation (AlphaFold, Rosetta).
- Do not claim binding or efficacy without wet-lab confirmation.
- Track model version and generation parameters for reproducibility.