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ligandmpnnlisted

Ligand-aware protein sequence design using LigandMPNN. Use this skill when: (1) Designing sequences around small molecules, (2) Enzyme active site design, (3) Ligand binding pocket optimization, (4) Metal coordination site design, (5) Cofactor binding proteins. For standard protein design, use proteinmpnn. For solubility optimization, use solublempnn.
BioTender-max/awesome-bio-agent-skills · ★ 58 · AI & Automation · score 80
Install: claude install-skill BioTender-max/awesome-bio-agent-skills
# LigandMPNN Ligand-Aware Design ## Prerequisites | Requirement | Minimum | Recommended | |-------------|---------|-------------| | Python | 3.8+ | 3.10 | | CUDA | 11.0+ | 11.7+ | | GPU VRAM | 8GB | 16GB (T4) | | RAM | 8GB | 16GB | ## How to run > **First time?** See [Installation Guide](../../docs/installation.md) to set up Modal and biomodals. ### Option 1: Modal (recommended) ```bash cd biomodals modal run modal_ligandmpnn.py \ --pdb-path protein_ligand.pdb \ --num-seq-per-target 16 \ --sampling-temp 0.1 ``` **GPU**: T4 (16GB) | **Timeout**: 600s default ### Option 2: Local installation ```bash git clone https://github.com/dauparas/LigandMPNN.git cd LigandMPNN python run.py \ --pdb_path protein_ligand.pdb \ --out_folder output/ \ --num_seq_per_target 16 ``` ## Key parameters | Parameter | Default | Range | Description | |-----------|---------|-------|-------------| | `--pdb_path` | required | path | PDB with ligand | | `--num_seq_per_target` | 1 | 1-1000 | Sequences per structure | | `--sampling_temp` | "0.1" | "0.0001-1.0" | Temperature (string!) | | `--ligand_mpnn_use_side_chain_context` | true | bool | Use ligand context | ## Ligand Specification ### In PDB File Ligand must be present as HETATM records: ``` ATOM ...protein atoms... HETATM 1 C1 LIG A 999 x.xxx y.yyy z.zzz 1.00 0.00 C ``` ### Supported Ligand Types - Small molecules (HETATM) - Metals (Zn, Fe, Mg, Ca, etc.) - Cofactors (NAD, FAD, ATP) - DNA/RNA ## Output f