clinpgx-database
Access ClinPGx pharmacogenomics data (successor to PharmGKB).
Skill by lamm-mit
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About
Use cases: backend, data
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What's inside
- Skill name
clinpgx-database- Description
- Access ClinPGx pharmacogenomics data (successor to PharmGKB). Query gene-drug interactions, CPIC guidelines, allele functions, for precision medicine and genotype-guided dosing decisions.
- License
- Apache-2.0
- Metadata
- skill-author: K-Dense Inc.
- Instructions
- 631 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
- Instructions call the network
Agent Skills spec issues
- body: 631 lines (spec recommends under 500)
Files (4)
- SKILL.md
- api_reference.md · references/
- query_clinpgx.cpython-313.pyc · scripts/__pycache__/
- query_clinpgx.py · scripts/
SKILL.md (first lines)
# ClinPGx Database
## Overview
ClinPGx (Clinical Pharmacogenomics Database) is a comprehensive resource for clinical pharmacogenomics information, successor to PharmGKB. It consolidates data from PharmGKB, CPIC, and PharmCAT, providing curated information on how genetic variation affects medication response. Access gene-drug pairs, clinical guidelines, allele functions, and drug labels for precision medicine applications.
## When to Use This Skill
This skill should be used when:
- **Gene-drug interactions**: Querying how genetic variants affect drug metabolism, efficacy, or toxicity
- **CPIC guidelines**: Accessing evidence-based clinical practice guidelines for pharmacogenetics
- **Allele information**: Retrieving allele function, frequency, and phenotype data
- **Drug labels**: Exploring FDA and other regulatory pharmacogenomic drug labeling
- **Pharmacogenomic annotations**: Accessing curated literature on gene-drug-disease relationships
- **Clinical decision support**: Using PharmDOG tool for phenoconversion and custom genotype interpretation
- **Precision medicine**: Implementing pharmacogenomic testing in clinical practice
- **Drug metabolism**: Understanding CYP450 and other pharmacogene functions
- **Personalized dosing**: Finding genotype-guided dosing recommendations
- **Adverse drug reactions**: Identifying genetic risk factors for drug toxicity
## Installation and Setup
### Python API Access
The ClinPGx REST API provides programmatic access to all database resources. Basic setup:
```bash
uv pip install requests
```
### API Endpoint
```python
BASE_URL = "https://api.clinpgx.org/v1/"
```
**Rate Limits**:
- 2 requests per second maximum
- Excessive requests will result in HTTP 429 (Too Many Requests) response
**Authentication**: Not required for basic access
**Data License**: Creative Commons Attribution-ShareAlike 4.0 International License
For substantial API use, notify the ClinPGx team at api@clinpgx.org
## Core Capabilities
### 1. Gene Queries
**Retrieve gene information** including function, clinical annotations, and pharmacogenomic significance:
```python
import requests
# Get gene details
response = requests.get("https://api.clinpgx.org/v1/gene/CYP2D6")
gene_data = response.json()
# Search for genes by name
response = requests.get("https://api.clinpgx.org/v1/gene",
params={"q": "CYP"})
genes = response.json()
```
**Key pharmacogenes**:
- **CYP450 enzymes**: CYP2D6, CYP2C19, CYP2C9, CYP3A4, CYP3A5
- **Transporters**: SLCO1B1, ABCB1, ABCG2
- **Other metabolizers**: TPMT, DPYD, NUDT15, UGT1A1
- **Receptors**: OPRM1, HTR2A, ADRB1
- **HLA genes**: HLA-B, HLA-A
### 2. Drug and Chemical Queries
**Retrieve drug information** including pharmacogenomic annotations and mechanisms:
```python
# Get drug details
response = requests.get("https://api.clinpgx.org/v1/chemical/PA448515") # Warfarin
drug_data = response.json()
# Search drugs by name
response = requests.get("https://api.clinpgx.org/v1/chemical",
params={"name": "warfarin"})
drugs = response.json()
```
**Drug categories with pharmacogenomic significance**:
- Anticoagulants (warfarin, clopidogrel)
- Antidepressants (SSRIs, TCAs)
- Immunosuppressants (tacrolimus, azathioprine)
- Oncology drugs (5-fluorouracil, irinotecan, tamoxifen)
- Cardiovascular drugs (statins, beta-blockers)
- Pain medications (codeine, tramadol)
- Antivirals (abacavir)
### 3. Gene-Drug Pair Queries
**Access curated gene-drug relationships** with clinical annotations:
```python
# Get gene-drug pair information
response = requests.get("https://api.clinpgx.org/v1/geneDrugPair",
params={"gene": "CYP2D6", "drug": "codeine"})
pair_data = response.json()
# Get all pairs for a gene
response = requests.get("https://api.clinpgx.org/v1/geneDrugPair",
params={"gene": "CYP2C19"})
all_pairs = response.json()
```
**Clinical annotation sources**:
- CPIC (Clinical Pharmacogenetics Implementation Consortium)
- DPWG (Dutch Pharmacogenetics Working Group)
- FDA (Food and Drug Administration) labels
- Peer-reviewed literature summary annotationsFrom lamm-mit/scienceclaw, Apache-2.0.
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Signals
- Stars
- 250
- Forks
- 47
- Open issues
- 1
- Last commit (this folder)
- Mar 14, 2026 (7 months ago)
- Last release
- Jun 23, 2026 (4 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- Repository
- github.com/lamm-mit/scienceclaw
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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clinpgx-database skill. Agent Mart. https://agentmart.dev/skills/lamm-mit-clinpgx-database (last updated 2026-10-24)