本文へ移動
cccskills
無料GitHub で公開

pubchem-database

Query PubChem, search by name/CID/SMILES, retrieve properties, similarity/substructure searches, bioactivity, for cheminformatics. Use when a user asks about a specific chemical, drug, or molecule.

インストール方法を見る

含まれるファイル(5)

  • SKILL.md5.5 KB
  • references/citation.bib2.0 KB
  • references/endpoints.md2.4 KB
  • references/workflows.md1.4 KB
  • scripts/pubchem_api.py10.4 KB

SKILL.md(原文)

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。

PubChem Database

Prerequisites

  1. uv: Read the uv skill and follow its Setup instructions to ensure uv is installed and on PATH.
  2. User Notification: If .licenses/pubchem_database_LICENSE.txt does not already exist in the workspace root directory then (1) prominently notify the user to check the terms at https://pubchem.ncbi.nlm.nih.gov/docs/citation-guidelines and https://pubchem.ncbi.nlm.nih.gov/docs/pug-rest, then (2) create the file recording the notification text and timestamp.

Quick Start

PubChem queries are executed via a robust Python wrapper script to respect terms-of-service and handle complex JSON parsing. This script allows safe multi-agent use of APIs.

Example: Resolve a chemical name to its Compound ID (CID)

uv run scripts/pubchem_api.py resolve --name "aspirin" --output result.json

Core Rules

  • Use the Wrapper: ALWAYS execute the provided helper scripts to query the database rather than accessing the database directly. The scripts automatically enforce the required rate limit gracefully.
  • Read the generated JSON output file, and process it with jq or code.
  • Verify Facts: ALWAYS verify information retrieved from memory with a database query if the user asks for a specific fact that can be checked in PubChem. Do not rely solely on internal knowledge.
  • Notification: If this skill is used, ensure this is mentioned in the output.

Core Capabilities

1. Compound Resolution (Name or InChI to Identifiers) Convert chemical/trade names or InChI strings into PubChem CIDs, SMILES, and InChIKeys.

uv run scripts/pubchem_api.py resolve --name "ibuprofen" --output result.json
# OR
uv run scripts/pubchem_api.py resolve --inchi "InChI=1S/C3/c1-3-2/i1+1" --output result.json

2. Physical & Chemical Property Retrieval Fetch computed properties (e.g., MolecularWeight, XLogP, TPSA).

uv run scripts/pubchem_api.py properties --cid 2244 --output result.json

3. Synonyms and Trade Names Find alternative names and brand names.

uv run scripts/pubchem_api.py synonyms --cid 2244 --output result.json

Advanced Context

4. Safety and Hazard Information (GHS) Retrieve Global Harmonized System hazard statements and handling precautions (uses PUG-View).

uv run scripts/pubchem_api.py safety --cid 2244 --output result.json

5. Drug and Medication Information Fetch FDA pharmacology data, mechanism of action, and therapeutic uses (uses PUG-View).

uv run scripts/pubchem_api.py pharmacology --cid 2244 --output result.json

6. Custom Heading (PUG-View) Retrieve any specific heading from the PUG-View system (e.g., 'Geometry', 'Crystal Structures').

uv run scripts/pubchem_api.py view --cid 3939 --heading "Crystal Structures" --output result.json

7. Image Generation Retrieve 2D chemical structure images. The script returns a Markdown-formatted image link.

uv run scripts/pubchem_api.py image --cid 2244 --output result.json

Complex Search & Biology

8. Structure-Based Searching (Similarity & Substructure) Find molecules similar to a SMILES string or containing a specific substructure.

uv run scripts/pubchem_api.py similarity --smiles "CC(=O)OC1=CC=CC=C1C(=O)O" --output result.json

and

uv run scripts/pubchem_api.py substructure --smiles "C1=CC=CC=C1" --output result.json

9. BioAssay & Target Interactions Identify genes or proteins a chemical interacts with.

uv run scripts/pubchem_api.py assays --cid 2244 --output result.json

Advanced Usage & Workflows

10. Cross-references (Xrefs) Fetch identifiers cross-referenced with a CID (e.g., PatentID, PubMedID).

uv run scripts/pubchem_api.py xrefs --cid 2244 --type "PatentID" --output result.json

11. Property Range Search Find CIDs within a specific property range. Supported features include: molecular_weight, heavy_atom_count, xlogp, tpsa, h_bond_donor_count, h_bond_acceptor_count, rotatable_bond_count, exact_mass, monoisotopic_mass, and complexity.

uv run scripts/pubchem_api.py range --feature molecular_weight --min 400.0 --max 400.05 --output result.json

12. Custom PUG-REST Query Execute a raw path against the PUG-REST API.

uv run scripts/pubchem_api.py query --path "compound/cid/2244/xrefs/PatentID/JSON" --output result.json

Fallback Search Strategies

If direct resolution by name or formula fails (e.g., for complex compounds or specific ions):

  • Search for parent/neutral molecule: If searching for an ion or salt, try searching for the neutral parent compound.
  • Deconstruct complex formulas: If a complex formula returns no results, try searching for major components or ligands.
  • Use substructure or similarity search: If you have a SMILES string or can generate one for a component, use it to find related compounds.

Complex Queries and Multi-Step Tasks

レビュー

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。

同じリポジトリのスキル

概要と使いどころ

Retrieve and analyze AlphaFold predicted structures for a protein. Use when the user provides a specific UniProt Accession ID and wants structural confidence metrics (pLDDT), domain boundary analysis, or disorder assessment. Do not use if the user only has a protein name, gene name, or amino acid sequence — ask for a UniProt ID first.

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。

google-deepmind/science-skills3,2382026年10月10日 更新

Constructs deep-links and URLs for the AlphaGenome Atlas website. Supports generating single-variant exploration links (1-based chr:pos:ref>alt), genomic locus views (1-based closed chr:start-end), candidate summary tables, and AlphaGenome reference vs. alternate predictions. Use whenever visualizing, exploring, charting, or linking genetic variants and genomic loci on the AlphaGenome Atlas, or when asked to inspect, view, or link predictions for a genomic variant.

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。

google-deepmind/science-skills3,2382026年10月10日 更新

Analyzes genetic variant effects on gene expression (RNA-seq), chromatin accessibility (DNASE), histone marks (ChIP), and transcription factors using the AlphaGenome API. Use when the user asks about non-coding variant effects, pathogenicity, clinical significance, disease associations, functional effects, gene expression changes, splicing disruption, or regulatory effects in promoters and enhancers. Also use for resolving biological terms to tissue/cell-type ontologies (UBERON/CL) or analyzing variants in chr:pos:ref>alt format.

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。

google-deepmind/science-skills3,2382026年10月10日 更新

Score, annotate, and analyze the functional impact of genetic variants using AlphaGenome Variant Impact (AVI) scores. Query variants in chr:pos:ref>alt format, annotate VCF/tabular callsets, perform saturation mutagenesis window scans (1-based closed chr:start-end), and extract GENCODE v46 GTF gene/exon/junction coordinates all via the AlphaGenome Atlas API.

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。

google-deepmind/science-skills3,2382026年10月10日 更新

Query the ChEMBL database for bioactive molecules, drug targets, bioactivity data, approved drugs, and chemical structures. Use when the user asks about compounds, targets, IC50/Ki values, drug mechanisms, or structure searches.

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。

google-deepmind/science-skills3,2382026年10月10日 更新

Query ClinicalTrials.gov via APIv2. Use when you want to search for trials by condition, drug, location, status, or phase; retrieve trial details by NCT ID; check eligibility/inclusion criteria; count trials across conditions or time periods; identify a sponsor's trial portfolio; find recruiting trials for patient matching.

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。

google-deepmind/science-skills3,2382026年10月10日 更新

google-deepmind のスキルをすべて見る

このスキルの問題を報告する