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molclaw-fpocket-toolkit-base
Detect binding pockets with fpocket_toolkit and return parsed pocket descriptors and run artifacts.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
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Detect binding pockets with fpocket_toolkit and return parsed pocket descriptors and run artifacts.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
Predict the ADMET (absorption, distribution, metabolism, excretion, and toxicity) properties of the input molecules.
Predict binding affinity between target protein sequence and small molecule SMILES using Boltz-2.
Predict protein structures with Chai-1 from sequence or FASTA input and return model scoring summaries.
Chroma toolkit skill covering chroma_monomer for single-chain generation, chroma_complex for multi-chain assembly generation, and chroma_symmetry for symmetry-constrained protein design.
Retrieve SMILES strings from PubChem database using compound names.
Generate new molecules de novo.
| name | molclaw-fpocket-toolkit-base |
| description | Detect binding pockets with fpocket_toolkit and return parsed pocket descriptors and run artifacts. |
| license | MIT license |
| metadata | {"skill-author":"PJLab"} |
Note:
molclaw-file-transfer before execution.molclaw-pdbfixer before execution.molclaw-scp-server to complete tool invocation.The description of tool fpocket_toolkit.
Detect pockets with fpocket_toolkit and store every run under the tool_result/fpocket_result directory.
Args:
pdb_file (str): Input PDB/mmCIF file to scan (required).
top_n (int): Limit returned pockets to the top N (0 = all). Default: 0.
min_druggability (float|None): Filter out pockets below this threshold. Default: None.
verbose (bool): Enable verbose descriptor parsing during the run. Default: False.
Return:
status (str): 'success' or 'error'.
msg (str): Human-readable narrative about the run.
run_dir (str): Absolute directory storing this run.
output_dir (str): Path where fpocket preserved its outputs.
pockets (List[Dict[str, Any]]): Parsed pocket descriptors, including scores and centers.
pocket_count (int): Number of pockets returned.
output_files (Dict[str, str]): Preserved fpocket output files.
exported (Dict[str, str]|None): Export metadata when requested.
files (Dict[str, str]): All files created under the run_dir.
How to use tool fpocket_toolkit :
response = await client.session.call_tool(
"fpocket_toolkit",
arguments={
"pdb_file": "/path/to/input.pdb",
"top_n": 0,
"min_druggability": None,
"verbose": False,
}
)
result = client.parse_result(response)
pockets = result.get("pockets")
# 1) Main mode: analyze full structure and return all pockets (README example)
{
"pdb_file": "/path/to/input.pdb",
"top_n": 0,
"min_druggability": None,
"verbose": False,
}
# 2) Variant mode: return top 3 pockets above a druggability threshold
{
"pdb_file": "/path/to/input.pdb",
"top_n": 3,
"min_druggability": 0.5,
"verbose": True,
}