SIDER - Side Effect Resource
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.