Is authentication required for the ClinPGx API access?

No, basic access to the ClinPGx REST API does not require authentication, though substantial API users are encouraged to notify the ClinPGx team.

How does this skill help with precision medicine?

It allows users to programmatically query how specific genetic variants affect drug metabolism and retrieve evidence-based dosing recommendations based on a patient's genotype.

Which regulatory sources are included in the drug label data?

The skill can retrieve drug labels and pharmacogenomic guidance from the FDA, EMA, PMDA, and other major international regulatory bodies.

What data does the ClinPGx skill provide?

It provides access to curated gene-drug pairs, CPIC clinical guidelines, allele functions, regulatory drug labels, and pharmacogenomic literature annotations.

What are the rate limits for the ClinPGx API?

The API allows a maximum of 2 requests per second to ensure stable access for all users. Excessive requests may result in a 429 error.

ClinPGx Pharmacogenomics

Name: ClinPGx Pharmacogenomics
Author: K-Dense-AI

byK-Dense-AI

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2,188

Ciencia de Datos y ML

Queries clinical pharmacogenomics data to provide insights into gene-drug interactions, CPIC guidelines, and genetic variants for precision medicine.

Acerca de

ClinPGx is a specialized Claude Code Skill that provides programmatic access to the Clinical Pharmacogenomics Database, the comprehensive successor to PharmGKB. It enables developers and researchers to retrieve evidence-based clinical guidelines from CPIC, analyze gene-drug interactions, and explore allele frequencies across diverse populations. By consolidating data from PharmGKB, CPIC, and PharmCAT, this skill facilitates the implementation of genotype-guided dosing decisions and the assessment of genetic risk factors in drug metabolism and toxicity within a coding environment.

Características Principales

2,188 GitHub stars
Explore pharmacokinetic and pharmacodynamic pathways for drug metabolism
Retrieve detailed allele function, phenotype assignments, and population frequency data
Analyze pharmacogenomic drug labeling from global regulatory bodies like the FDA and EMA
Query complex gene-drug interactions for major drug classes like anticoagulants and oncology
Access CPIC clinical practice guidelines and evidence-based recommendations

Casos de Uso

Automating the identification of genetic risk factors for adverse drug reactions
Building clinical decision support systems for personalized medication dosing
Conducting population-level pharmacogenomic research and variant analysis

Acerca de

Características Principales

2,188 GitHub stars
Explore pharmacokinetic and pharmacodynamic pathways for drug metabolism
Retrieve detailed allele function, phenotype assignments, and population frequency data
Analyze pharmacogenomic drug labeling from global regulatory bodies like the FDA and EMA
Query complex gene-drug interactions for major drug classes like anticoagulants and oncology
Access CPIC clinical practice guidelines and evidence-based recommendations

Casos de Uso

Automating the identification of genetic risk factors for adverse drug reactions
Building clinical decision support systems for personalized medication dosing
Conducting population-level pharmacogenomic research and variant analysis