Does this skill require an API key for ClinPGx?

No, authentication is not required for basic access to the ClinPGx REST API, though it is subject to rate limits of 2 requests per second.

Which genes are covered by this pharmacogenomics database?

It covers major pharmacogenes including CYP450 enzymes (CYP2D6, CYP2C19), transporters (SLCO1B1), HLA genes (HLA-B), and other metabolizers like TPMT and DPYD.

Can this skill help identify drug toxicity risks?

Yes, it can query clinical annotations and variant data to identify genetic risk factors associated with adverse drug reactions and toxicity for specific medications.

What kind of data can I access with the ClinPGx skill?

You can access curated data on gene-drug interactions, clinical dosing guidelines (CPIC/DPWG), allele functions and frequencies, pharmacogenomic drug labels, and metabolic pathways.

ClinPGx Pharmacogenomics Database

Name: ClinPGx Pharmacogenomics Database
Author: K-Dense-AI

byK-Dense-AI

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3,719

Data Science & ML

Accesses comprehensive pharmacogenomics data including gene-drug interactions, CPIC guidelines, and allele functions for precision medicine.

About

The ClinPGx Database skill integrates data from PharmGKB, CPIC, and PharmCAT to provide researchers and clinicians with curated information on how genetic variation impacts medication response. This skill enables Claude to query high-evidence gene-drug pairs, evidence-based clinical guidelines, and regulatory drug labeling (FDA/EMA). It is particularly useful for implementing precision medicine workflows, identifying genetic risk factors for adverse drug reactions, and finding genotype-guided dosing recommendations for critical pharmacogenes like CYP2D6 and CYP2C19.

Key Features

Access pharmacogenomic-specific drug labeling from global regulatory bodies
Explore pharmacokinetic and pharmacodynamic pathway diagrams and data
Retrieve functional annotations and population frequencies for specific alleles
Query evidence-based CPIC and DPWG clinical practice guidelines
Analyze gene-drug-disease relationships through curated clinical annotations
3,719 GitHub stars

Use Cases

Assessing medication safety and toxicity risks based on patient genetic profiles
Conducting population-level pharmacogenomic research and allele frequency analysis
Developing clinical decision support tools for genotype-guided drug prescriptions

About

Key Features

Access pharmacogenomic-specific drug labeling from global regulatory bodies
Explore pharmacokinetic and pharmacodynamic pathway diagrams and data
Retrieve functional annotations and population frequencies for specific alleles
Query evidence-based CPIC and DPWG clinical practice guidelines
Analyze gene-drug-disease relationships through curated clinical annotations
3,719 GitHub stars

Use Cases

Assessing medication safety and toxicity risks based on patient genetic profiles
Conducting population-level pharmacogenomic research and allele frequency analysis
Developing clinical decision support tools for genotype-guided drug prescriptions