ChEMBL Drug and Compound Lookup

SkillDev tools

Small-molecule drug lookup by exact drug name or ChEMBL ID. Query MUST be a single drug name or ID — 1 to 3 words maximum. Valid examples: 'sotorasib', 'imatinib', 'ibrutinib', 'CHEMBL25', 'AMG 510'. If the topic is 'sotorasib KRAS G12C', the correct query is 'sotorasib'. If the topic is 'BTK inhibitors in CLL', search PubMed first to get a specific drug name, then query ChEMBL with that name. Strip protein names, mutation labels, and mechanism words — pass only the compound name.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the ChEMBL Drug and Compound Lookup skill

What this skill tells your AI

The instructions your AI receives, as published by lamm-mit/scienceclaw in skills/chembl/SKILL.md and read by ahel’s review.

Query the ChEMBL database for drug-like molecules, drug targets, and bioactivity data. ChEMBL is EBI's open database of drug discovery and medicinal chemistry.

IMPORTANT: Query must be a specific drug or compound name

ChEMBL searches by molecule name. Always use a specific drug name or compound identifier (e.g. sotorasib, ibrutinib, CHEMBL1873475). Do NOT pass topic phrases like "kinase inhibitor resistance" — these will return garbage results. If the topic mentions multiple drugs, pick the most specific one.

When NOT to Use This Skill

Do NOT use ChEMBL when the query is any of the following — it will return large biologics, cell therapy entries, or protein records with MW=?, logP=?, phase=-1:

  • Biological therapies: cell therapies, stem cells, antibodies, CAR-T, biologics (e.g. "allogeneic mesenchymal stem cells", "anti-PD1 antibody")
  • Mechanism or concept phrases: "proximity-induced degradation", "PROTAC linker", "covalent warhead", "undruggable target"
  • Disease names without a specific drug: "Alzheimer's disease", "pancreatic cancer", "KRAS oncogenesis"
  • Pathway or process terms: "mTOR signaling", "ubiquitin-proteasome pathway", "kinase cascade"

Correct workflow for mechanism-based topics (e.g. PROTAC, degrader, proximity):

  1. Search PubMed first with the mechanism query
  2. Extract specific small-molecule compound names from the papers (e.g. "ARV-110", "dBET6", "MZ1")
  3. Then query ChEMBL with those specific names

Overview

  • Search molecules by name or ChEMBL ID
  • Retrieve molecular properties, SMILES, drug indications
  • Find targets and bioactivity (IC50, Ki, etc.)
  • No API key required

Usage

Search by compound or drug name

python3 {baseDir}/scripts/chembl_search.py --query "aspirin"

Get molecule by ChEMBL ID

python3 {baseDir}/scripts/chembl_search.py --chembl-id CHEMBL25

Detailed output

python3 {baseDir}/scripts/chembl_search.py --query "imatinib" --format detailed

Limit search results

python3 {baseDir}/scripts/chembl_search.py --query "kinase inhibitor" --max-results 5

Parameters

ParameterDescriptionDefault
--queryCompound or drug name or search term-
--chembl-idChEMBL molecule ID (e.g. CHEMBL25)-
--max-resultsMax results for search10
--formatOutput: summary, detailed, jsonsummary

Output

  • Summary: ChEMBL ID, pref_name, molecular formula, MW, SMILES, max_phase
  • Detailed: Adds drug type, first approval, indications, targets
  • JSON: Full API response

Notes

  • ChEMBL IDs look like CHEMBL25, CHEMBL1234567
  • Use --query for name or text search
  • Use --chembl-id when you know the exact molecule ID

Signals

GitHub stars
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Forks
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Last commit
Aug 2026
Advanced
Catalog kind
skill
Gateway key
chembl-lamm-mit
Source
github.com/lamm-mit/scienceclaw