Inspect a local PDB structure, summarize chains and residue composition, and identify protein atoms near a user-specified ligand or pocket center. Use for reproducible first-pass structure and binding-site inspection before heavier modeling.
日本語の概要は準備中です。原文の説明を表示しています。
実行スコア 未検証
インストール方法を見るインストールする前に、エージェントに与えられる指示の中身を確認できます。
Use this method for a transparent first-pass analysis of a local PDB structure. It does not predict affinity, docking poses, or biological function.
$SCIENCEDISCOVERY_SKILLS_DIR/structure-pocket-inspection/scripts/inspect_pdb.py with explicit workspace paths and options. The complete package is already mounted read-only when the execution sandbox starts; do not copy the script, read its source into context, or search the filesystem for another copy. If the workspace already contains an equivalent user-owned script, invoke that script instead. Do not copy the structure into another proprietary format.The corresponding bundled-script arguments for residues within 5 Å of ATP are:
python "$SCIENCEDISCOVERY_SKILLS_DIR/structure-pocket-inspection/scripts/inspect_pdb.py" structure.pdb --ligand ATP --cutoff 5 --output pocket.json
For residues within 6 Å of a known pocket center:
python "$SCIENCEDISCOVERY_SKILLS_DIR/structure-pocket-inspection/scripts/inspect_pdb.py" structure.pdb --center 12.4 8.1 -3.0 --cutoff 6 --output pocket.json
A alternate locations.まだレビューはありません。使ってみた感想をお寄せください。
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Prepare, launch, monitor, and summarize the real RFdiffusion to ProteinMPNN to Protenix antibody pipeline on a local or remote ScienceDiscovery Runner with sandboxed Ascend NPUs.
日本語の概要は準備中です。原文の説明を表示しています。
Independent multi-dimensional assessor for material design candidates. Loads configurable scoring rubrics to evaluate candidates from different expert perspectives. Each dispatch produces structured scores, pros/cons, and verification data without sharing results with other assessors.
日本語の概要は準備中です。原文の説明を表示しています。
Read, diagnose, and change the CI pipeline: GitHub Actions on pull requests, the merge queue, the nightly schedule and the release tag. Use when a job fails, when editing .github/workflows/, when asking which layer runs what, when reproducing a pipeline failure locally, or when a job needs the bubblewrap sandbox. Running the layers before proposing a change, and reading the result a proposal receives, belong to create-github-pr.
日本語の概要は準備中です。原文の説明を表示しています。
Verify cited paper identity and decide whether claims in an Artifact are supported by their linked Evidence using a governed source snapshot.
日本語の概要は準備中です。原文の説明を表示しています。
Use this skill when you need to write and execute Python/R code to process, transform, and analyze data, delivering reproducible computational results with complete code-level methodology documentation. Supports statistical analysis, data transformation, visualization, method justification, and structured result output.
日本語の概要は準備中です。原文の説明を表示しています。
Check whether numeric claims marked with Evidence aliases in an Artifact agree with the linked Evidence content and context.
日本語の概要は準備中です。原文の説明を表示しています。