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

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.

PMID: 24036418
Funding: - Fundação para a Ciência e a Tecnología (FCT, Portugal): SFRH/BPD/73939/2010 - Research on Translational Bioinformatics: 08VIB6, 09CSA043383PR-2009

Documentation

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