cancer-researcher

What problem does it solve?

This Skill helps you connect Ayurvedic phytochemicals in the OSPF knowledge graph to modern oncology hypotheses by mapping overlapping molecular targets, pathways, biomarkers, and resistance contexts.

Core Features & Use Cases

• Target overlap & mechanism mapping: Identifies shared proteins between phytochemical target interactions and known cancer drug targets/mechanisms.
• Pathway and indication relevance: Evaluates whether shared targets sit in established cancer signaling pathways and checks indication links in drug-indication data.
• Precision and resistance-aware reasoning: Frames findings in clinical trial/biomarker/combination-resistance terms with explicit confidence levels and data-vs-inference separation for hypothesis generation.

Quick Start

Use the cancer-researcher skill to analyze which phytochemical targets in the repository are most likely to overlap with oncology drug targets and to summarize biomarker and resistance-relevant implications for repurposing hypotheses.