clinpgx-database
FeaturedAccess ClinPGx pharmacogenomics data (successor to PharmGKB). Query gene-drug interactions, CPIC guidelines, allele functions, for precision medicine and genotype-guided dosing decisions.
Install
Quality Score: 94/100
Skill Content
Details
- Author
- foryourhealth111-pixel
- Repository
- foryourhealth111-pixel/Vibe-Skills
- Created
- 6 months ago
- Last Updated
- 1 weeks ago
- Language
- Python
- License
- Apache-2.0
Integrates with
Similar Skills
Semantically similar based on skill content — not just same category
clinpgx-database
Query the ClinPGx (formerly PharmGKB) REST API plus the CPIC PostgREST companion API for pharmacogenomic clinical annotations, CPIC/DPWG dosing guidelines, gene-drug pairs, variant-drug associations, FDA/EMA drug labels, and PGx pathways. Two-host architecture: api.clinpgx.org for annotation records, api.cpicpgx.org for genotype→recommendation lookups. No auth. For germline pathogenicity use clinvar-database; for somatic cancer PGx use cosmic-database or opentargets-database; for drug bioactivity use chembl-database-bioactivity.
alterlab-primekg
Queries the Precision Medicine Knowledge Graph (PrimeKG) for multiscale biomedical relationships across genes, drugs, diseases, phenotypes, pathways, and biological processes. Use when exploring drug-disease or gene-disease links, building disease-centric knowledge subgraphs, or sourcing relations for drug repurposing and precision-medicine analyses. Part of the AlterLab Academic Skills suite.
assess-pharmacogenomic-evidence
Assesses whether pharmacogenomic covariate effects are characterised across the programme's evidence base — in-vitro enzyme and transporter genotype data, PopPK covariate analyses, dedicated PGx sub-studies, and the labelling concept — producing a gene-enzyme-phenotype register in which every stated PGx effect traces to its source and every source-identified polymorphism traces to its downstream statement. Use this skill when someone asks whether pharmacogenomic effects are characterised for a compound, whether a PopPK analysis covers the relevant polymorphisms, or what PGx gaps remain. Example: "Please pharmacogenomic effects are characterised for a compound." Do not use for demographic covariates (age, sex, body size), for organ-impairment characterisation, for drug-drug interaction assessment, or for any request to recommend a genotype-based dose adjustment.