Aurora
Integrates multi-source bioinformatics data for LLM-driven queries on plant-compound-mitochondrial relationships, focusing on potential mitochondrial Complex I inhibitors.
Acerca de
Aurora-MCP functions as a Model Context Protocol (MCP) server and data integration layer, specifically designed to connect diverse datasets covering natural products, biodiversity, and mitochondrial inhibitors. It empowers Large Language Models (LLMs) and users to explore complex relationships between plant species, small molecules, and mitochondrial Complex I inhibition. By bridging information from sources like COCONUT, Laji.fi, GBIF, and AI-derived PubMed data through structured joins and metadata schemas, Aurora-MCP facilitates scientific dialogue grounded in domain data. Its core purpose is to transform static biological information into an interactive semantic backend, providing programmatic tools for searching, linking, and reasoning over compounds, plants, and their mechanistic connections.
Características Principales
- Enables LLM queries on plant species, small molecules, and Complex I inhibition
- Integrates natural-product, biodiversity, and mitochondrial-inhibitor datasets
- Functions as an MCP server with Hugging Face Space integration for LLM interaction
- Provides a FastAPI-based endpoint for programmatic access to structured biological data
- Connects data from COCONUT, Laji.fi, GBIF, and AI-derived PubMed
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Casos de Uso
- Find PubMed evidence for specific small molecules as Complex I inhibitors
- List Nordic plants whose metabolites overlap with known ETC inhibitors
- Identify plant-derived compounds that inhibit mitochondrial Complex I
