AD
Data & Repro
Adaptyv
Adaptyv is a cloud laboratory platform that provides automated protein testing and validation services. Submit protein sequences via API or…
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Data & Repro
LI
ligandmpnn
Maintainer FreedomIntelligence · Last updated April 1, 2026
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.
Original source
FreedomIntelligence/OpenClaw-Medical-Skills
https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/ligandmpnn
- Maintainer
- FreedomIntelligence
- License
- MIT
- Last updated
- April 1, 2026
Skill Snapshot
Key Details From SKILL.md
Key Notes
- First time? See Installation Guide to set up Modal and biomodals.
Source Doc
Excerpt From SKILL.md
Option 1: Modal (recommended)
GPU: T4 (16GB) | Timeout: 600s default
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 |
In PDB File
Ligand must be present as HETATM records:
Use cases
- Use ligandmpnn in research workflows aligned with this subject area.
- Follow the upstream documentation for the full working procedure.
Not for
- Do not rely on this catalog entry alone for installation or maintenance details.
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