ligandmpnn
Design protein sequences around ligand or small-molecule contexts with LigandMPNN-style workflows. Use when a task asks for ligand-aware protein design, residue redesign, constraints, or design ranking.
68
Quality
83%
Does it follow best practices?
Run evals on this skill
Adds up to 20 points to the overall score
View guide
Securityby
Passed
No findings from the security scan
LigandMPNN
Use this skill for ligand-aware protein sequence design.
Workflow:
- Record the input structure, ligand identity, chain/residue design mask, fixed residues, symmetry, and design objective.
- Verify the execution route and model availability before running.
- Save input structure, ligand file, residue masks, command, seeds, model version, generated FASTA, and score tables.
- Filter outputs by constraint satisfaction, sequence diversity, known motifs, predicted structure confidence, and ligand-contact plausibility.
- Send shortlisted designs through an independent structural or literature/database check before presenting them as candidates.
Generated designs must remain tied to exact input structures and constraints.
- Repository
- companion-inc/feynman
- Commit
95c51d9
- Last updated
- First committed
Is this your skill?
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.