LigandMPNN (ligand-aware sequence design)
SkillMediaThis skill lets your AI design protein sequences that fit around a ligand, metal, or nucleic acid already in place. It is built on LigandMPNN, a 2023 method that takes the surrounding molecule into account, so the amino acids it picks for binding pockets and metal sites are chosen to match the actual ligand. Use it when you want to design a small-molecule or metal binding pocket.
Available today. Use it from your connected AI after setup.
No other account needed.
After adding the skill, give your AI the structure with the ligand, metal, or nucleic acid in place and ask it to design a protein sequence around it.
Then ask your AI: use the LigandMPNN (ligand-aware sequence design) skill
What your AI can do with it
- Design protein sequences around a bound small-molecule ligand
- Design sequences that hold metals at metal sites
- Design sequences around nucleic acids
- Choose binding-pocket amino acids that fit the actual ligand
- Choose metal-site amino acids suited to the metal in place
What this skill tells your AI
The instructions your AI receives, as published by alterlab-ieu/alterlab-academic-skills in skills/bioinformatics/alterlab-ligandmpnn/SKILL.md and read by ahel’s review.
Overview
LigandMPNN (Dauparas et al. 2023; dauparas/LigandMPNN) extends ProteinMPNN's inverse
folding to condition on non-protein context — small-molecule ligands, metal ions, and
nucleic acids. Because the model sees the ligand/metal atoms, the residues it designs for a
binding pocket or metal site are chosen to complement what is actually bound, which
plain ProteinMPNN (protein-atoms-only) cannot do.
Use it whenever the design target is a site that contacts a ligand or ion. For sequence
design of a backbone with no bound context, use alterlab-proteinmpnn.
When to Use This Skill
Use this skill when the user wants to:
- Design a small-molecule binding pocket so the residues fit the ligand.
- Design a metal-coordinating site (e.g. Zn/Fe) with the ion in context.
- Redesign residues that contact a ligand, ion, or nucleic acid.
- Do enzyme active-site design where the substrate/cofactor should guide the choice.
Does NOT Trigger
| Scenario | Use instead |
|---|---|
| Sequence design for a backbone with no ligand/metal context | alterlab-proteinmpnn |
| Generate a backbone or scaffold a functional motif | alterlab-rfdiffusion |
| Validate a design by refolding | alterlab-alphafold |
| Co-fold the protein WITH the ligand from scratch | alterlab-boltz |
| Dock a ligand into a fixed pocket (pose, not sequence) | alterlab-diffdock |
Core Capabilities
1. Ligand-aware pocket design
# dauparas/LigandMPNN CLI — TODO(verify) flags/checkpoint names against your checkout
python run.py \
--model_type ligand_mpnn \
--pdb_path complex_with_ligand.pdb \
--out_folder out/ \
--number_of_batches 8
The input PDB must contain the ligand/metal atoms (HETATM). LigandMPNN designs pocket residues that fit that context; supply a fixed-positions/redesign spec to target only the site.
2. Metal-site and nucleic-acid context
Provide the coordinating ion or the nucleic-acid chain in the structure so the model conditions on it — critical for metalloenzyme and DNA/RNA-binding designs.
3. Site-focused redesign
Restrict design to the residues within a shell of the ligand (redesign the pocket, keep the
scaffold), analogous to ProteinMPNN's fixed-positions workflow. Verify the exact argument names
for your version (TODO(verify)).
4. In the design pipeline
LigandMPNN provides the sequence step when the functional site involves a ligand: scaffold
or generate the site with alterlab-rfdiffusion, design the pocket sequence here, then validate
by refolding (alterlab-alphafold) and — if you need a pose/affinity — co-fold with
alterlab-boltz or dock with alterlab-diffdock.
Resources
references/ligandmpnn_usage.md— install/pinning, model types, HETATM/context input, site-restricted design, and pipeline integration. Loaded on demand.
Part of the AlterLab Academic Skills suite.
Signals
- GitHub stars
- 66
- Forks
- 13
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
alterlab-ligandmpnn- Source
- github.com/alterlab-ieu/alterlab-academic-skills