SIDER - Side Effect Resource
SkillProductivityCategory: Drug-centric | Type: DB | Subcategory: Adverse Drug Reaction (ADR) Link: http://sideeffects.embl.de/ | Paper: https://doi.org/10.1093/nar/gkv1075
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the SIDER - Side Effect Resource skill
About this skill
🦀 Agentic RAG for drug intelligence · 57 skills · 15 task categories · DTI · ADR · DDI · PGx · Repurposing · Powered by LangGraph
What this skill tells your AI
The instructions your AI receives, as published by qsong-github/drugclaw in skills/adr/sider/SKILL.md and read by ahel’s review.
Category: Drug-centric | Type: DB | Subcategory: Adverse Drug Reaction (ADR) Link: http://sideeffects.embl.de/ | Paper: https://doi.org/10.1093/nar/gkv1075
SIDER contains marketed medicines and their recorded adverse drug reactions, mined from public documents and package inserts.
Entity Type Auto-Detection
| Input Pattern | Detected As | Example |
|---|---|---|
CIDxxxxxxxxx | STITCH ID | CID100000085 |
Cxxxxxxx (8-char, digits after C) | UMLS CUI | C0011849 |
X##XX## (7-char ATC pattern) | ATC code | N05BA01 |
| anything else | free text | aspirin, headache |
Free text first attempts exact/substring match on drug names; if no drug is matched, it searches side-effect and indication names.
API
| Function | Input | Returns |
|---|---|---|
search(entity) | single entity string | dict with drug_name, stitch_ids, atc_codes, side_effects, indications, freq |
search_batch(entities) | list of entity strings | dict[str, dict] |
summarize(result) | one result dict | compact text string |
to_json(result) | one result dict | same dict (pipeline passthrough) |
Usage
from 14_SIDER import search, search_batch, summarize
# Single query — drug name
result = search("aspirin")
print(summarize(result))
# Single query — STITCH ID
result = search("CID100000085")
print(summarize(result))
# Single query — side-effect text
result = search("headache")
print(summarize(result))
# Batch query — mixed entity types
results = search_batch(["metformin", "ibuprofen", "C0011849"])
for entity, r in results.items():
print(summarize(r))
Data Files
All pre-downloaded and extracted under:
resources_metadata/adr/SIDER
| File | Content |
|---|---|
drug_names.tsv | STITCH flat ID → drug name |
drug_atc.tsv | STITCH flat ID → ATC code |
meddra_all_se.tsv | All side effects (STITCH, UMLS, MedDRA type, SE name) |
meddra_all_indications.tsv | All indications (STITCH, UMLS, method, MedDRA name) |
meddra_freq.tsv | Side effects with frequency info |
The loader auto-detects .tsv / .tsv.gz variants. Results are capped at 50 records per category for readability.
Signals
- GitHub stars
- 116
- Forks
- 3
- Last commit
- Aug 2026
Advanced
- Item type
- skill
- Key
sider- Source
- github.com/qsong-github/drugclaw
github.com/qsong-github/drugclaw
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