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- InternScience/MolClaw
- 최근 소스 활동
- 2026년 5월 11일 07:44
- 감지된 SKILL.md 언어
- 영어
- 스타
- 31
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설치 방법
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소스 파일 검토
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
메뉴
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
직접 명령은 검토 Prompt를 거치지 않습니다. 실행하기 전에 소스를 확인하세요.
npx skills add https://github.com/InternScience/MolClaw --skill molclaw-prolif-pdb명령은 한 줄로 유지됩니다. 복사하기 전에 가로로 스크롤해 전체 내용을 확인하세요.
로컬 사본을 원하시나요? SkillsMP에서 현재 제공할 수 있는 파일을 다운로드하세요.
All tools utilized within MolClaw skills connect via the MCP protocol. This skill is the unified guide for connecting to the deployed MCP server before invoking tools.
Formats extracted execution patterns into standard MolClaw skill documents. Accepts structured input from the Skill Crystallization Meta-Workflow (L2-12) and outputs a properly formatted L1 or L2 skill document conforming to MolClaw conventions. This skill ensures that auto-generated skills are structurally identical to expert-curated skills, enabling seamless integration into the skill matching and loading pipeline.
Predict the ADMET (absorption, distribution, metabolism, excretion, and toxicity) properties of the input molecules.
SOC 직업 분류 기준
SKILL.md 표시 중
| name | molclaw-prolif-pdb |
| description | ProLIF static complex analysis skill for a single protein-ligand structure. |
| license | MIT license |
| metadata | {"skill-author":"PJLab"} |
Note:
molclaw-file-transfer before execution.molclaw-pdbfixer before execution.molclaw-scp-server to complete tool invocation.[!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 usingmolclaw-pdbfixerbefore execution.
Analyze interaction fingerprints from one static protein-ligand complex structure. Use this skill for fast assessment of crystal structures, top docking poses, or representative MD frames.
| Parameter | Source Guidance |
|---|---|
structure_path | Can come from PDB retrieval tools, best docking poses, MD frame extraction (e.g., openmm_extract_frames), or complex preparation tools (e.g., prepare_complex) outputting complex PDB files |
ligand_selection | User-defined ligand selection string that matches ligand identifiers in the structure file |
protein_selection | Defaults to protein; can be customized to limit the analyzed region |
prolif_pdbAnalyze a single complex structure and return ProLIF interaction fingerprints or counts with summary metrics.
Args:
structure_path (str): Path to the complex structure file (commonly PDB).
ligand_selection (str): Selection string identifying ligand atoms.
protein_selection (str): Selection string for protein atoms. Default: 'protein'.
interactions (List[str]|None): Optional interaction types to compute.
count (bool): If True, compute interaction counts instead of fingerprints. Default: False.
vicinity_cutoff (float|None): Optional distance cutoff for vicinity interactions.
params_json (str|None): Optional JSON parameter file path for ProLIF interaction settings.
Return:
status (str): 'success' or 'error'.
msg (str): Human-readable summary or error message.
command (str): The executed command label ('pdb').
output_dir (str|None): Run-specific directory under tool_result/prolif_result.
output_file (str|None): Path to the produced CSV file.
n_frames (int|None): Number of processed frames (typically 1 for static structures).
n_interactions (int|None): Number of interaction columns in output.
frequent_interactions (List[dict]|None): High-frequency interactions (>30%) with keys 'interaction' and 'frequency'.
result_summary (dict|None): Full summary dictionary from the wrapper.
prolif_pdbresponse = await client.session.call_tool(
"prolif_pdb",
arguments={
"structure_path": "relative/path/to/complex.pdb",
"ligand_selection": "resname LIG",
"protein_selection": "protein",
"interactions": ["Hydrophobic", "HBAcceptor"]
}
)
result = client.parse_result(response)
key_output = result["output_file"]
# 1) Main mode
{
"structure_path": "relative/path/to/complex.pdb",
"ligand_selection": "resname LIG",
"protein_selection": "protein",
"interactions": ["Hydrophobic", "HBDonor"]
}
# 2) Variant mode
{
"structure_path": "relative/path/to/complex.pdb",
"ligand_selection": "resname LIG",
"count": True,
"params_json": "relative/path/to/prolif_override.json"
}
Default: For all single-structure protein-ligand interaction analysis, use
molclaw-interaction-visualizer(local script) as the primary tool. Useprolif_pdb(this tool) only when you specifically need ProLIF-format fingerprint data for downstreamprolif_docking/prolif_mdpipeline compatibility, or when the interaction-visualizer script is unavailable.
| Need | Use interaction-visualizer (local, PRIMARY) | Use prolif_pdb (MCP, fallback) |
|---|---|---|
| Single-structure interaction analysis | ✅ default | Only if visualizer unavailable |
| Schrödinger-style 2D interaction diagram | ✅ | ❌ |
| PyMOL 3D auto-rendering | ✅ | ❌ |
| Residue role annotations (Hinge/Gatekeeper/DFG) | ✅ | ❌ |
| Decision-ready JSON for agent loop | ✅ | ❌ |
partner_site.csv for ligand atom modification diagnosis | ✅ | ❌ |
Native --resid_offset for PDB→UniProt mapping | ✅ | ❌ (manual mapping needed) |
| MCP server unavailable | ✅ (local) | ❌ |
ProLIF-format fingerprint for prolif_docking/prolif_md pipeline | ❌ | ✅ use this |
| Interaction fingerprint CSV for cross-structure comparison | ✅ | ✅ |