MLibrary
MLibrary performs database-driven identification of androgenic anabolic steroids (AAS) and their metabolites from MALDI-TOF-MS and MALDI-TOF-MS/MS data for urinary anti-doping screening.
Key Features:
- Database search engine: Compares experimental MALDI-TOF-MS and MALDI-TOF-MS/MS spectra against a comprehensive library of theoretical values.
- Automated spectral interpretation: Automates interpretation and evaluation of MALDI-TOF-MS and MALDI-TOF-MS/MS spectra to flag potential positives in single MS analyses.
- Two-step workflow: Implements initial MS screening to identify candidates followed by MS/MS-based confirmation.
- Fragmentation matching: Confirms candidates by matching experimental MS/MS fragmentation spectra with a pre-assigned database of standards.
- Matrix applicability: Applied to urinary screening and demonstrated on spiked urine samples.
- Extensibility: Designed for expansion to additional compound classes beyond AAS.
Scientific Applications:
- Anti-doping urinary screening: Identification and confirmation of anabolic agents and metabolites in urine for anti-doping control.
- Single-MS prescreening: Detection of potential positives from single MALDI-TOF-MS analyses prior to confirmation by MS/MS.
- Tandem-MS confirmation: Verification of candidate identifications by matching MS/MS fragmentation patterns to known standards.
- Method validation: Demonstrated utility in analysis of spiked urine samples for assay validation and performance assessment.
Methodology:
MLibrary compares experimental MALDI-TOF-MS spectra to a library of theoretical values to identify possible positives, then confirms candidates by matching experimental MALDI-TOF-MS/MS fragmentation spectra against a pre-assigned database of standards.
Topics
Details
- Maturity:
- Mature
- Cost:
- Free of charge
- Tool Type:
- desktop application
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- Java
- Added:
- 1/11/2017
- Last Updated:
- 6/16/2020
Operations
Data Inputs & Outputs
Protein identification
Inputs
Outputs
Publications
Galesio M, López-Fdez H, Reboiro-Jato M, Gómez-Meire S, Glez-Peña D, Fdez-Riverola F, Lodeiro C, Diniz M, Capelo J. Speeding up the screening of steroids in urine: Development of a user-friendly library. Steroids. 2013;78(12-13):1226-1232. doi:10.1016/j.steroids.2013.08.014. PMID:24036418.