fpockettoolkit Pocket Detection
SkillDev toolsDetect binding pockets with fpocket_toolkit and return parsed pocket descriptors and run artifacts.
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 fpockettoolkit Pocket Detection skill
What this skill tells your AI
The instructions your AI receives, as published by internscience/molclaw in skills/L1_tools/molclaw-fpocket-toolkit-base/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.
Usage
1. Pocket Detection
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")
Example parameter sets
# 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,
}
Signals
- GitHub stars
- 33
- Forks
- 3
- Last commit
- Aug 2026
Advanced
- Catalog kind
- skill
- Gateway key
molclaw-fpocket-toolkit-base- Source
- github.com/internscience/molclaw