BioSMXpress

BioSMXpress identifies structural candidates for unknown endogenous mammalian biochemical compounds in complex biofluids to support metabolomics research.

Key Features:

• Speed and Efficiency: Achieves processing speeds reported to be on average eight times faster than BioSM for rapid analysis of large-scale metabolomics datasets.
• Accuracy in Prediction: Maintains high accuracy in identifying endogenous mammalian biochemical structures, supported by comprehensive empirical experiments.
• Graph Matching Algorithms: Employs graph matching methods to traverse and compare chemical structure space for structural identification.
• Reference-based Identification: Utilizes known endogenous mammalian biochemicals as reference points to identify unknown compounds in complex biofluid samples.

Scientific Applications:

• Metabolite Identification: Identification of unknown small-molecule metabolites in biofluids for metabolomics studies.
• Large-scale Metabolomics: High-throughput analysis of extensive metabolomics datasets enabled by accelerated processing.
• Metabolic Pathway Elucidation: Support for elucidating metabolic pathways through structural identification of biochemical intermediates.
• Metabolic Network Mapping: Mapping networks of metabolites to inform biological and medical research investigations.

Methodology:

Applies graph matching methods to navigate chemical structure space and performs reference-based identification using known endogenous mammalian biochemicals.