Pharmaceutical

This skill creates publication-ready clinical decision support documents for pharmaceutical research and medical guideline development. It generates patient cohort analyses with biomarker stratification, evidence-based treatment recommendations using GRADE methodology, and includes statistical analysis tools for survival curves, hazard ratios, and clinical outcome comparisons.

This skill enables querying the Open Targets Platform for drug target discovery, allowing users to search for gene targets, disease associations, known drugs, and evidence data. It provides Python helper functions to access tractability assessments, safety liabilities, clinical precedence, and genetic evidence for therapeutic target prioritization.

Access and analyze comprehensive drug information from the DrugBank database including drug properties, interactions, targets, pathways, chemical structures, and pharmacology data. This skill should be used when working with pharmaceutical data, drug discovery research, pharmacology studies, drug-drug interaction analysis, target identification, chemical similarity searches, ADMET predictions, or any task requiring detailed drug and drug target information from DrugBank.