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proteinmpnn

Design protein sequences using ProteinMPNN inverse folding.

Skill by BioTender-max

IndexedMIT★ 206
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

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About

Design protein sequences using ProteinMPNN inverse folding. Use this skill when: (1) Designing sequences for RFdiffusion backbones, (2) Redesigning existing protein sequences, (3) Fixing specific residues while designing others, (4) Optimizing sequences for expression or stability, (5) Multi-state or negative design. For backbone generation, use rfdiffusion or bindcraft. For ligand-aware design, use ligandmpnn. For solubility optimization, use solublempnn.

Use cases: design

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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

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  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/proteinmpnn

What's inside

Skill name
proteinmpnn
Description
Design protein sequences using ProteinMPNN inverse folding. Use this skill when: (1) Designing sequences for RFdiffusion backbones, (2) Redesigning existing protein sequences, (3) Fixing specific residues while designing others, (4) Optimizing sequences for expression or stability, (5) Multi-state or negative design. For backbone generation, use rfdiffusion or bindcraft. For ligand-aware design, use ligandmpnn. For solubility optimization, use solublempnn.
License
MIT
Instructions
262 lines in SKILL.md · view on GitHub

Files (2)

  • SKILL.md
  • temperature-guide.md · references/

SKILL.md (first lines)

# ProteinMPNN Sequence 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: Local installation (recommended)
```bash
git clone https://github.com/dauparas/ProteinMPNN.git
cd ProteinMPNN

python protein_mpnn_run.py \
  --pdb_path backbone.pdb \
  --out_folder output/ \
  --num_seq_per_target 16 \
  --sampling_temp "0.1"
```

**GPU**: T4 (16GB) sufficient | **Time**: ~50-100 sequences/minute

### Option 2: Modal (via LigandMPNN wrapper)
```bash
cd biomodals
modal run modal_ligandmpnn.py \
  --pdb-path backbone.pdb \
  --num-seq-per-target 16
```

Note: LigandMPNN includes ProteinMPNN functionality.

## Config Schema

### Core Parameters

| Parameter | Default | Range | Description |
|-----------|---------|-------|-------------|
| `--pdb_path` | required | path | Single PDB input |
| `--pdb_path_chains` | all | A,B | Chains to design (comma-sep) |
| `--out_folder` | required | path | Output directory |
| `--num_seq_per_target` | 1 | 1-1000 | Sequences per structure |
| `--sampling_temp` | "0.1" | "0.0001-1.0" | Temperature (string!) |
| `--seed` | 0 | int | Random seed |
| `--batch_size` | 1 | 1-32 | Batch size |

### Temperature Guide
```
0.1  -> Low diversity, high recovery (production)
0.2  -> Moderate diversity (default)
0.3  -> Higher diversity (exploration)
0.5+ -> Very diverse, lower quality
```

**IMPORTANT**: Temperature must be passed as a string, not float.

## Common mistakes

### Temperature Parameter
✅ **Correct**:
```bash
--sampling_temp "0.1"    # String with quotes
```

❌ **Wrong**:
```bash
--sampling_temp 0.1      # Float without quotes - may cause errors
--sampling_temp 0.1,0.2  # Multiple temps need proper format
```

### Fixed Positions JSONL
✅ **Correct**:
```json
{"A": [1, 2, 3, 10, 11], "B": [5, 6]}
```

❌ **Wrong**:
```json
{"A": "1,2,3,10,11"}     # String instead of list
{A: [1, 2, 3]}           # Missing quotes on key
{"A": [1,2,3,]}          # Trailing comma
```

### Chain Selection
✅ **Correct**:
```bash
--pdb_path_chains A,B    # No spaces
```

❌ **Wrong**:
```bash
--pdb_path_chains A, B   # Space after comma
--pdb_path_chains "A,B"  # Quotes may cause issues
```

### Amino Acid Biases
```bash
# Bias toward certain AAs (positive = favor)
--bias_AA_jsonl '{"A": {"A": 1.5, "W": -2.0}}'

# Omit specific AAs globally
--omit_AAs "CM"  # No cysteine or methionine

# Per-position omission
--omit_AA_jsonl '{"A": {"1": "C", "2": "CM"}}'
```

### Multi-Chain Design
```bash
# Design chains A and B together
--pdb_path_chains A,B

From BioTender-max/awesome-bio-agent-skills, MIT.

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206
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Last commit (this folder)
May 25, 2026 (5 months ago)
Last release
Jul 1, 2026 (3 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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Cite this page

proteinmpnn skill. Agent Mart. https://agentmart.dev/skills/biotender-max-proteinmpnn (last updated 2026-10-24)