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molclaw-pack-sidechains
Predicts full-atom sidechain conformations from backbone PDBs using AttnPacker for structure preparation workflows.
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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Predicts full-atom sidechain conformations from backbone PDBs using AttnPacker for structure preparation workflows.
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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| name | molclaw-pack-sidechains |
| description | Predicts full-atom sidechain conformations from backbone PDBs using AttnPacker for structure preparation workflows. |
| license | MIT license |
| metadata | {"skill-author":"PJLab"} |
Note:
drugsda-file-transfer before execution.drugsda-fix_pdb before execution.The description of tool pack_sidechains.
Predict full-atom sidechain conformations from backbone PDBs for protein structure preparation workflows.
Args:
input_pdb (str): Input PDB file path, required.
device (str|None): Compute device such as cuda:0, default None (auto by source script).
chunk_size (int): Inference chunk size for long proteins, default 500.
no_post_process (bool): Skip rotamer post-processing for faster runtime, default False.
max_optim_iters (int): Maximum optimization iterations in post-process, default 250.
steric_wt (float): Steric clash penalty weight, default 1.0.
optim_repeats (int): Post-process optimization repeats, default 2.
dry_run (bool): Create a traceable run directory without running inference, default False.
Return:
status (str): 'success', 'error', or 'partial_success'.
msg (str): Human-readable execution message.
input_pdb (str): Input PDB path used for this run.
output_dir (str): Unique run directory under tool_result/pack_sidechains_result.
output_pdb (str): Expected or generated output PDB path.
device (str|None): Device value used for execution.
chunk_size (int): Chunk size used.
no_post_process (bool): Whether post-process was skipped.
max_optim_iters (int): Max optimization iterations used.
steric_wt (float): Steric weight used.
optim_repeats (int): Optimization repeats used.
dry_run (bool): Whether dry-run mode was used.
error_type (str, optional): Exception type when status is 'error'.
traceback (str, optional): Python traceback when status is 'error'.
How to use tool pack_sidechains :
response = await client.session.call_tool(
"pack_sidechains",
arguments={
"input_pdb": "/path/to/input.pdb",
"device": "cuda:0",
"chunk_size": 500,
"no_post_process": False,
"max_optim_iters": 250,
"steric_wt": 1.0,
"optim_repeats": 2,
"dry_run": False
}
)
result = client.parse_result(response)
output_pdb = result["output_pdb"]
# 1) Main mode
{
"input_pdb": "/path/to/input.pdb",
"device": "cuda:0",
"chunk_size": 500,
"no_post_process": False,
"max_optim_iters": 250,
"steric_wt": 1.0,
"optim_repeats": 2,
"dry_run": False
}
# 2) Variant mode
{
"input_pdb": "relative/path/to/test_backbone.pdb",
"chunk_size": 500,
"dry_run": True
}
After calling this tool, you MUST download all output structure files from the MCP server to the local workspace using server_file_to_base64. A tool call is NOT considered complete until its output files have been downloaded and verified locally (ls -la <file> — size must be > 0).
import base64, os
response = await client.session.call_tool(
"server_file_to_base64",
arguments={"file_path": result["output_file"]} # or relevant output field
)
dl = client.parse_result(response)
local_path = "stepNN_descriptive_name.ext"
with open(local_path, "wb") as f:
f.write(base64.b64decode(dl["base64_string"]))
assert os.path.getsize(local_path) > 0, f"Download failed: {local_path}"
Download policy: All structure output files are Category A (user-critical) — essential for user verification, downstream analysis, and reproducibility. When in doubt, download. Over-collection is always preferred over under-collection.