Xconnector

Xconnector integrates, retrieves, and visualizes metabolomics data from multiple public and specialized databases to support metabolite-centric analyses and biomarker identification.

Key Features:

• Data Integration: Connects with the Human Metabolome Database (HMDB), Livestock Metabolome Database (LMDB), Yeast Metabolome Database (YMDB), Toxin and Toxin Target Database (T3DB), ReSpect Phytochemicals Database (ReSpectDB), The Blood Exposome Database, Phenol-Explorer Database, Kyoto Encyclopedia of Genes and Genomes (KEGG), and Small Molecule Pathway Database (SMPDB).
• Data Retrieval: Uses Python to retrieve specified metabolites from single or multiple database sources.
• Data Formatting and Packaging: Reformats and repacks retrieved data into an Excel CSV file and supports both API and Python-dependent methodologies for data access.
• Visualization: Automatically generates graphical outputs from retrieved metabolomics data.

Scientific Applications:

• Medical Diagnostics: Provides comprehensive metabolite information to assist identification and interpretation of diagnostic biomarkers.
• Biomarker Discovery: Enables cross-database exploration of metabolites to support discovery of novel biomarkers.
• Personalized Medicine: Integrates metabolomics profiles across databases to inform individual metabolic profiling.

Methodology:

Implemented in Python; connects to HMDB, LMDB, YMDB, T3DB, ReSpectDB, The Blood Exposome Database, Phenol-Explorer Database, KEGG, and SMPDB; retrieves metabolites from single or multiple sources via API or Python-dependent access; reformats and repacks data into Excel CSV files; and generates graphical outputs.