Literature DB >> 24242885

Evaluation of automatically generated substructure identification rules from tandem mass spectra.

K J Hart1, A P Wade, B D Nourse, C G Enke.   

Abstract

Substructure identification rules for phenothiazine and barbiturate substructures were generated by using a new version of the Method for Analyzing Patterns in Spectra (MAPS) software. This software uses tandem mass spectra and known substructure content of reference compounds to provide "feature-combination" rules. A feature-combination is a series of tandem mass spectral features which are completely unique to compounds containing a specified substructure. The current reference databases contain over 11,000 daughter spectra of 100 compounds acquired at two different collision gas pressures (i.e., single- and multiple-collision conditions). The results of rule evaluation procedures are presented and include a comparison of the spectral features developed in rule generation to those identified in documented fragmentation pathways of the indicated substructure. Two potential sources of error due to spectral feature and substructure "cross-correlation" were identified. If errors occur, they can be detected by calculating cross-correlation coefficients and edited from the rules. A beneficial cross-correlation involving feature-combinations was also discovered. The rules obtained by using single- and multiple-collision data were further evaluated by applying them to tandem mass spectra of 20 test compounds (compounds not in the reference database). The results of these evaluations give a good indication of the utility of the rules for use in an automated structure elucidation system for tandem mass spectrometry data.

Entities:  

Year:  1992        PMID: 24242885     DOI: 10.1016/1044-0305(92)87050-9

Source DB:  PubMed          Journal:  J Am Soc Mass Spectrom        ISSN: 1044-0305            Impact factor:   3.109


  3 in total

1.  Generation of substructure identification rules using feature-combinations from tandem mass spectra.

Authors:  K J Hart; P T Palmer; D L Diedrich; C G Enke
Journal:  J Am Soc Mass Spectrom       Date:  1992-02       Impact factor: 3.109

2.  Identification of barbiturates by chemical ionization and mass-analyzed ion kinetic energy spectrometry.

Authors:  E Soltero-Rigau; T L Kruger; R G Cooks
Journal:  Anal Chem       Date:  1977-03       Impact factor: 6.986

3.  [Mass spectra of barbiturate derivatives].

Authors:  H Grützmacher; W Arnold
Journal:  Tetrahedron Lett       Date:  1966-04       Impact factor: 2.415

  3 in total
  1 in total

1.  Generation of substructure identification rules using feature-combinations from tandem mass spectra.

Authors:  K J Hart; P T Palmer; D L Diedrich; C G Enke
Journal:  J Am Soc Mass Spectrom       Date:  1992-02       Impact factor: 3.109

  1 in total

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