| name | molclaw-goca-tool |
| description | Run GoCa coarse-grained protein MD pipeline and collect key simulation artifacts from a unified run directory. |
| license | MIT license |
| metadata | {"skill-author":"PJLab"} |
GoCa Pipeline
Note:
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Local files are not directly accessible by the server. Please upload them to the server using molclaw-file-transfer before execution.
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For PDB file inputs, it is recommended to preprocess them using molclaw-pdbfixer before execution.
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Please refer to skill molclaw-scp-server to complete tool invocation.
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GoCa executable path is fixed by wrapper to /root/lwj/wll/code/drug/GoCa/GoCa.
Usage
1. GoCa Pipeline
The description of tool goca_pipeline.
Runs GoCa coarse-grained setup and optional full MD workflow for protein structure relaxation and trajectory generation.
Args:
protein_pdb (str): Input protein PDB path, required.
full_md (bool): Whether to run EM, production MD, and post-processing, default True.
temperature (float): GoCa reduced temperature used for MD, default 45.0.
md_time (float): MD simulation length in ps, default 12000.0.
gpu_ids (str | None): Optional GROMACS GPU device IDs, default None.
dry_run (bool): Create tracked run directory and return normalized parameters without execution, default False.
Return:
status (str): success, partial_success, or error.
msg (str): Human-readable run summary.
output_dir (str): Run-specific directory under tool_result/goca_pipeline_result.
work_dir (str): Relative GoCa working directory under output_dir.
protein_pdb (str): Resolved input protein PDB absolute path.
full_md (bool): Effective full_md value used by wrapper.
temperature (float): Effective reduced temperature used by wrapper.
md_time (float): Effective MD time in ps used by wrapper.
gpu_ids (str | None): Effective GPU IDs used by wrapper.
dry_run (bool): Effective dry_run value used by wrapper.
key_files (dict): Key output files relative to output_dir.
analysis_dir (str | None): Analysis directory relative to output_dir when generated.
How to use tool goca_pipeline :
response = await client.session.call_tool(
"goca_pipeline",
arguments={
"protein_pdb": "/path/to/input.pdb",
"full_md": True,
"md_time": 1000.0,
"temperature": 45.0,
"gpu_ids": None,
"dry_run": False
}
)
result = client.parse_result(response)
key_output = result["output_dir"]
Example parameter sets
{
"protein_pdb": "/path/to/input.pdb",
"full_md": True,
"md_time": 1000.0,
"temperature": 45.0,
"gpu_ids": None,
"dry_run": True
}
{
"protein_pdb": "relative/path/to/protein.pdb",
"full_md": False,
"md_time": 50000.0,
"temperature": 50.0,
"gpu_ids": "0",
"dry_run": False
}