gnps_motif_33.m2m (GNPS library derived Mass2Motifs)

  • Motif name: gnps_motif_33.m2m
  • Motif set name: GNPS library derived Mass2Motifs
  • Annotation: tetrahydroisoquinoline substructure
  • Short annotation: tetrahydroisoquinoline substructure
  • Comment: Derived from gnps_binned_005 ms2lda experiment id=191
  • Original motif: motif_33 (gnps_binned_005)
  • Resolver: mzspec:MOTIFDB::accession:151002
Feature Probability
fragment_132.0825 0.394734953111923
fragment_187.0875 0.125796184747074
fragment_130.0675 0.118298889983831
fragment_159.0925 0.0791851832954286
fragment_117.0575 0.0452773585824356
fragment_133.0825 0.0361820560973433
fragment_158.0625 0.0198126993138568
fragment_257.0925 0.01561693110488
fragment_115.0525 0.0144714549323637
fragment_158.0375 0.0139717559956695
fragment_188.0875 0.0123289420546441
fragment_103.0525 0.0120669028332283
fragment_131.0675 0.01078534901719
fragment_215.0825 0.00841847561015566
fragment_141.0125 0.00789434513763508
fragment_160.0925 0.00752769770117941
fragment_202.1325 0.00733473044058465
loss_152.9975 0.00706977978741607
fragment_160.0775 0.00540226029723668
fragment_118.0675 0.00495991994642462
loss_165.0775 0.00491480118431629
loss_195.0775 0.00476211882262956
fragment_144.0825 0.00394972117740737
fragment_106.0725 0.00340465589826178
loss_170.0225 0.00328389125010678
fragment_122.0675 0.00278862865583703
fragment_131.0725 0.00258503406959189
fragment_250.1225 0.00251711827922257
loss_159.0675 0.00242527516408532
fragment_229.0975 0.00234570371951591
fragment_118.0725 0.00232266227258291
loss_103.0275 0.00217358027273468
fragment_161.0825 0.00193474470190046
loss_176.0975 0.00192139284861223
fragment_150.0925 0.00186031216938874
fragment_116.0575 0.00175498117508742
fragment_142.0675 0.00143140039381801
fragment_258.0925 0.00140619770649624
fragment_201.1025 0.00139038678256509
fragment_273.1375 0.00133080206069322
fragment_203.1375 0.00120896172316326
fragment_159.0625 0.00115175968148304

Please note: the following plots both show relative intensity such that the biggest feature (fragment / loss) has a value of 100%. For the absolute values, please see the table above.

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