# Molclaw Esmfold

> Use ESMFold model to predict 3D structure of the input protein sequence.

- Skill: `internscience/molclaw-esmfold` (Agent Skill)
- Install (CLI): `npx skillmds@latest add internscience/molclaw-esmfold`
- Raw SKILL.md: https://api.skillmd.com/api/skills/internscience/molclaw-esmfold/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- License: MIT license
- Author: internscience (https://skillmd.com/u/internscience)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/internscience/molclaw-esmfold

---


# Protein Structure Prediction

Note: 
- Local files are not directly accessible by the server. Please upload them to the server using `molclaw-file-transfer` before execution. 
- For PDB file inputs, it is recommended to preprocess them using `molclaw-pdbfixer` before execution.
- Please refer to skill `molclaw-scp-server` to complete tool invocation.

The description of tool *pred_protein_structure_esmfold*.

```tex
Use the ESMFold model for protein 3D structure prediction.
Args:
    sequence (str): Protein sequence
Return:
    status: success/error
    msg: message
    pdb_path (str): The predicted pdb file path
```

How to use tool *pred_protein_structure_esmfold* :

```python
response = await client.session.call_tool(
    "pred_protein_structure_esmfold",
    arguments={
        "sequence": sequence
    }
)
result = client.parse_result(response)
pred_protein_structure = result["pdb_path"]
```