Protein Structure Prediction
SkillAI & modelsUse ESMFold model to predict 3D structure of the input protein sequence.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Protein Structure Prediction skill
What this skill tells your AI
The instructions your AI receives, as published by internscience/molclaw in skills/L1_tools/molclaw-esmfold/SKILL.md and read by ahel’s review.
Note:
- Local files are not directly accessible by the server. Please upload them to the server using
molclaw-file-transferbefore execution. - For PDB file inputs, it is recommended to preprocess them using
molclaw-pdbfixerbefore execution. - Please refer to skill
molclaw-scp-serverto complete tool invocation.
The description of tool pred_protein_structure_esmfold.
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 :
response = await client.session.call_tool(
"pred_protein_structure_esmfold",
arguments={
"sequence": sequence
}
)
result = client.parse_result(response)
pred_protein_structure = result["pdb_path"]
Signals
- GitHub stars
- 33
- Forks
- 3
- Last commit
- Aug 2026
Advanced
- Catalog kind
- skill
- Gateway key
molclaw-esmfold- Source
- github.com/internscience/molclaw