IDSL.UFA
IDSL.UFA annotates molecular formulas for untargeted liquid chromatography/high-resolution mass spectrometry (LC/HRMS) peaks to support metabolomics and exposomics analyses by matching theoretical isotopic profiles and incorporating tandem mass spectrometry information.
Key Features:
- Molecular Formula Assignment: Assigns molecular formulas to LC/HRMS peaks by matching theoretical isotopic profiles (MS1) of ionized compounds with observed data.
- Validation and Accuracy: Demonstrated assignment of molecular formulas to 54.31-85.51% of true positive annotations as the top hit and 90.58-100% within the top five hits in untargeted metabolomics validation tests.
- Integration with Tandem Mass Spectrometry: Supports molecular formula annotations using tandem mass spectrometry (MS/MS) data for additional validation.
- Formula Source Generation: Generates formula sources and their theoretical isotopic profiles to improve assignment accuracy.
- Optimized Formula Hits Ranking: Optimizes ranking of formula hits for both individual and aligned peak lists to enhance identification precision.
- Scalability: Designed to handle studies with larger sample sizes for large-scale analyses.
Scientific Applications:
- Human metabolomics and exposomics: Provides high-confidence molecular formula annotations for untargeted LC/HRMS biospecimen analyses to preserve biological insights.
- Pregnancy metabolome discovery: Applied to a publicly available pregnancy metabolome study to annotate raw data and uncover hundreds of new pregnancy-related compounds.
- Exposomics detection: Enabled identification of chlorinated perfluorotriether alcohols (Cl-PFTrEAs) in human specimens.
Methodology:
Matches observed MS1 isotopic profiles to generated theoretical isotopic profiles from formula sources, supports MS/MS-based annotation, and optimizes ranking of formula hits for individual and aligned peak lists.
Topics
Details
- License:
- MIT
- Cost:
- Free of charge
- Tool Type:
- library
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- R
- Added:
- 10/28/2022
- Last Updated:
- 11/24/2024
Operations
Publications
Baygi SF, Banerjee SK, Chakraborty P, Kumar Y, Barupal DK. IDSL.UFA Assigns High-Confidence Molecular Formula Annotations for Untargeted LC/HRMS Data Sets in Metabolomics and Exposomics. Analytical Chemistry. 2022;94(39):13315-13322. doi:10.1021/acs.analchem.2c00563. PMID:36137231. PMCID:PMC9682628.