HDOCK Protein Docking
SkillAI & modelsRun HDOCKlite docking for protein complexes and return run directories with ranked models.
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 HDOCK Protein Docking skill
What this skill tells your AI
The instructions your AI receives, as published by internscience/molclaw in skills/L1_tools/molclaw-hdock-tool/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. HDOCK Protein Docking
The description of tool hdock_tool.
Run HDOCKlite protein-protein/protein-peptide docking and return the unique run directory, key files, and summary metrics for structure-based screening workflows. Inputs must be non-degenerate PDB coordinate files; SDF/PDBQT inputs are rejected before HDOCK is launched. The server chooses the output directory and may remap the partner chain in its internal copy to avoid receptor/partner chain collisions.
Args:
receptor (str): Receptor PDB file path.
ligand (str): Ligand or partner PDB file path.
nmax (int): Number of docking models to generate (default 100).
no_complex (bool): Disable complex structure generation (default False).
angle (int): Rotation sampling interval in degrees (default 15).
rsite (str|None): Optional receptor binding-site residue file.
lsite (str|None): Optional ligand binding-site residue file.
Return:
status (str): success, partial_success, or error execution status.
msg (str): Human-readable execution summary.
output_dir (str): Unique run directory under tool_result/hdock_tool_result.
receptor (str): Resolved receptor input path.
ligand (str): Resolved ligand input path.
nmax (int): Effective model count upper bound used.
no_complex (bool): Effective no-complex flag used.
angle (int): Effective angle parameter used.
rsite (str|None): Effective receptor site file used.
lsite (str|None): Effective ligand site file used.
output_files (dict): Key generated file paths such as Hdock.out, topN.pdb, and best models.
partner_chains (List[str]): Partner chain IDs present in generated complex models. For protein-peptide complexes, pass output_files["best_model_pdb"] and partner_chains[0] to interaction_visualizer(mode="peptide").
metrics (dict): Summary metrics including generated model count and best docking score when available.
Scoring Interpretation (HDOCK)
- HDOCK Docking Score is a relative ranking score. Values are usually negative, and more negative means better predicted binding.
- The score combines shape complementarity (FFT search), electrostatic interactions, and desolvation-like energy terms.
model_1.pdbis the top-ranked pose generated bycreatepl;model_2.pdbtomodel_10.pdbare sorted from better to worse by docking score.- Do not interpret HDOCK score as an absolute binding free energy in kcal/mol. Use it for within-run pose ranking and candidate prioritization.
- For peptide/protein docking, use
interaction_visualizerinpeptidemode onoutput_files["best_model_pdb"]withpartner_chain = result["partner_chains"][0]. Do not send HDOCK peptide models toanalyze_protein_ligand_interactions, which is for HETATM small molecules.
How to use tool hdock_tool :
response = await client.session.call_tool(
"hdock_tool",
arguments={
"receptor": "/path/to/receptor.pdb",
"ligand": "/path/to/ligand.pdb",
"nmax": 10,
"angle": 15
}
)
result = client.parse_result(response)
key_output = result["output_dir"]
Example parameter sets
# 1) Main mode: basic docking run (from README/test flow)
{
"receptor": "/path/to/receptor.pdb",
"ligand": "/path/to/ligand.pdb",
"nmax": 10,
"angle": 15,
"no_complex": False
}
# 2) Variant mode: light sampling with complex generation disabled and defined sites
{
"receptor": "/path/to/receptor.pdb",
"ligand": "/path/to/ligand.pdb",
"nmax": 5,
"angle": 10,
"no_complex": True,
"rsite": "/path/to/rsite.txt",
"lsite": "/path/to/lsite.txt"
}
# 3) Variant mode: exhaustive sampling with default complex outputs
{
"receptor": "/path/to/receptor.pdb",
"ligand": "/path/to/ligand.pdb",
"nmax": 100,
"angle": 15
}
Signals
- GitHub stars
- 33
- Forks
- 3
- Last commit
- Aug 2026
Advanced
- Catalog kind
- skill
- Gateway key
molclaw-hdock-tool- Source
- github.com/internscience/molclaw