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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
PR
protein-structure-prediction
Maintainer FreedomIntelligence · Last updated April 1, 2026
Protein structure prediction with AlphaFold3, ESMFold, or Boltz with comparison.
Original source
FreedomIntelligence/OpenClaw-Medical-Skills
https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/protein-structure-prediction
- Maintainer
- FreedomIntelligence
- License
- MIT
- Last updated
- April 1, 2026
Skill Snapshot
Key Details From SKILL.md
Key Notes
- The Protein Structure Prediction Skill provides an interface to state-of-the-art folding models. It takes an amino acid sequence and returns a PDB file or structure metrics (pLDDT).
- When you have a protein sequence and need its 3D coordinates.
- To check if a designed sequence folds into a stable structure.
- To prepare a receptor for docking simulations.
- When you have a protein sequence and need its 3D coordinates. To check if a designed sequence folds into a stable structure. * To prepare a receptor for docking simulations.
Source Doc
Excerpt From SKILL.md
Core Capabilities
- Folding: Generates atomic coordinates (PDB format).
- Confidence Scoring: Returns pLDDT scores per residue.
- Visualization: (Optional) Generates a static view of the structure.
Workflow
- Input: Amino acid sequence (FASTA string).
- Process: Sends sequence to ESMFold API (or local inference).
- Output: Saves
.pdbfile and returns confidence metrics.
Example Usage
User: "Fold this sequence: MKTIIALSY..."
Agent Action:
Use cases
- When you have a protein sequence and need its 3D coordinates.
- To check if a designed sequence folds into a stable structure.
- To prepare a receptor for docking simulations.
Not for
- Do not rely on this catalog entry alone for installation or maintenance details.
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