GoCa Pipeline
SkillDev toolsRun GoCa coarse-grained protein MD pipeline and collect key simulation artifacts from a unified run directory.
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 GoCa Pipeline skill
What this skill tells your AI
The instructions your AI receives, as published by internscience/molclaw in skills/L1_tools/molclaw-goca-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. -
GoCa executable path is fixed by the managed wrapper to
/data/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
# 1) Main mode
{
"protein_pdb": "/path/to/input.pdb",
"full_md": True,
"md_time": 1000.0,
"temperature": 45.0,
"gpu_ids": None,
"dry_run": True
}
# 2) Variant mode
{
"protein_pdb": "relative/path/to/protein.pdb",
"full_md": False,
"md_time": 50000.0,
"temperature": 50.0,
"gpu_ids": "0",
"dry_run": False
}
Signals
- GitHub stars
- 33
- Forks
- 3
- Last commit
- Aug 2026
Advanced
- Catalog kind
- skill
- Gateway key
molclaw-goca-tool- Source
- github.com/internscience/molclaw