What problem does it solve?
This skill accelerates accurate structure prediction for immune proteins (antibodies, nanobodies, and T-cell receptors) using specialized models in ImmuneBuilder.
Core Features & Use Cases
- Fast, accurate predictions for heavy-light antibodies (ABodyBuilder2), single-domain antibodies (NanoBodyBuilder2), and TCRs (TCRBuilder2).
- GPU-accelerated Docker workflows that run images like ghcr.io/open-prophetdb/immunebuilder:arm64-blackwell on supported platforms.
- Use Case: Pharmaceutical researchers can rapidly iterate designs by predicting 3D structures from sequence inputs or FASTA files to guide optimization and selection.
Quick Start
Launch the ImmunBuilder Docker image with GPU support and provide sequences or FASTA inputs to generate PDB models. Example: docker run --rm --gpus all -v $(pwd):/data ghcr.io/open-prophetdb/immunebuilder:arm64-blackwell ABodyBuilder2 -H "HEAVY" -L "LIGHT" -o /data/output.pdb