MetaboMiner

MetaboMiner identifies metabolites in complex biofluids by matching two-dimensional NMR (1H-1H TOCSY and 1H-13C HSQC) spectral patterns to reference spectra to improve compound identification relative to 1D 1H NMR.

Key Features:

• Automated and Semi-Automated Identification: Provides both fully automated and semi-automated modes for metabolite identification from NMR spectra.
• Support for 2D NMR Techniques: Handles 1H-1H TOCSY and 1H-13C HSQC data to increase spectral resolution and reduce peak overlap.
• Comprehensive Reference Libraries: Uses reference spectral libraries containing approximately 500 pure compounds for pattern matching.
• Robust Peak-Matching Algorithms: Employs advanced algorithms to match peaks accurately within 2D NMR spectra.
• High Identification Accuracy: Demonstrated identification of over 80% of detectable metabolites in tests with synthetic and real mixture spectra from high-quality NMR data.
• Spectrum Annotation: Facilitates rapid annotation of peaks and spectra for identified metabolites.

Scientific Applications:

• Biofluid and Tissue-Extract Metabolomics: Supports compound identification in biofluids and tissue extracts for metabolomic studies.
• Complex Mixture Profiling: Enables resolution and identification of metabolites in complex biological mixtures using 2D NMR data.

Methodology:

The software compares 2D NMR spectral patterns (TOCSY and HSQC) from biofluid mixtures against reference spectra in its libraries using peak-matching algorithms.