gnps_motif_0.m2m (GNPS library derived Mass2Motifs)

  • Motif name: gnps_motif_0.m2m
  • Motif set name: GNPS library derived Mass2Motifs
  • Annotation: Methoxylated benzene substructure [ClassyFire - Relevant terms - Substituents: Methoxybenzene Phenoxy compounds - Taxa: O-methylated flavonoids]
  • Short annotation: Methoxylated benzene substructure
  • Comment: Derived from gnps_binned_005 ms2lda experiment id=191
  • Original motif: motif_0 (gnps_binned_005)
Feature Probability
loss_58.0425 0.08084855537
loss_76.0525 0.0495737995038
loss_30.0475 0.0414202189263
loss_71.0725 0.0392681018415
loss_30.0425 0.0293695283619
loss_48.0575 0.0195816535656
fragment_345.0625 0.0187869080356
fragment_317.0675 0.0176369965158
fragment_315.0525 0.0164826230925
loss_33.0325 0.0164060035635
fragment_360.0875 0.0158722911034
fragment_356.8275 0.0155841045396
loss_73.0625 0.0150339977217
loss_104.0475 0.0141369753355
loss_90.0675 0.0130564158832
loss_61.0275 0.0127546689402
loss_64.0525 0.012453907162
loss_92.0475 0.0117584991625
loss_91.0775 0.0115053931391
fragment_285.0375 0.011072928072
fragment_325.0675 0.0110570832207
fragment_375.1075 0.0109011955594
loss_72.0575 0.0107120419527
fragment_230.9325 0.00990391641275
fragment_299.0575 0.009666264006
fragment_359.0775 0.00949214417253
loss_46.0425 0.00948613621993
loss_101.0625 0.00927401663204
fragment_343.0825 0.00866542396648
fragment_342.0725 0.00848795813116
fragment_343.0775 0.00842197808605
fragment_331.0825 0.00839959501007
fragment_329.0675 0.00828293415563
loss_15.0225 0.00820960614248
loss_34.0425 0.00801731295923
fragment_298.0475 0.00781325566778
fragment_678.2875 0.00779244775513
loss_32.0375 0.00779244775513
fragment_901.4425 0.00779243494907
fragment_283.0625 0.00778956621655
loss_54.0475 0.00712344612562
loss_60.0575 0.00703926556319
fragment_344.0875 0.00698176234634
loss_62.0375 0.00692016050686
loss_16.0325 0.00680120537099
fragment_326.0775 0.00650607817438
fragment_297.0425 0.00650272761344
fragment_316.0575 0.00602365455102
fragment_902.4475 0.00575101777941
loss_47.0525 0.0054054126541
fragment_313.0675 0.00526907187562
loss_86.0375 0.0052034656225
fragment_297.0775 0.00520328185954
loss_75.0475 0.00518336571124
loss_66.0675 0.00489944728105
fragment_269.0475 0.00485573944716
loss_45.0675 0.00464421840574
loss_77.0575 0.00461534922815
fragment_679.2875 0.00447319693652
fragment_359.1125 0.00445794440844
fragment_183.0275 0.0043055538087
loss_32.0275 0.00419515467227
loss_62.0725 0.00419392169375
fragment_273.0375 0.00419264428365
fragment_373.8525 0.00415372705935
loss_51.0425 0.00413681866108
fragment_327.0525 0.00412047752517
fragment_281.0425 0.00408653406393
loss_57.0375 0.00404142954342
fragment_300.0625 0.00389504516962
fragment_328.0575 0.00387186507288
loss_162.1025 0.0038438598431
loss_190.0975 0.00384130697247
loss_50.0375 0.00378444925629
loss_102.0675 0.00369294143273
fragment_271.0575 0.00358918346356
loss_147.0675 0.00338283281723
loss_78.0675 0.00338205963968
loss_118.0625 0.00337165076083
loss_88.0525 0.00336107924834
fragment_311.0575 0.00322496622098
loss_106.0625 0.0029914087771
loss_16.0275 0.00298734822363
fragment_302.0425 0.0029689725972
fragment_211.0225 0.00285991368163
loss_74.0725 0.00280322156446
loss_146.0575 0.00275443214083
loss_29.0425 0.00268922501469
fragment_314.0425 0.00268851353211
fragment_301.0325 0.00264986546404
fragment_295.0625 0.00263066451514
fragment_257.0425 0.0025961891746
loss_90.0325 0.00256610719161
fragment_229.0475 0.00253513802772
fragment_318.0675 0.00251746199994
fragment_169.0125 0.00247816185581
fragment_247.9525 0.00246285673785
loss_129.0575 0.00245640847663
fragment_228.9375 0.00245514475501
loss_198.9625 0.00245514475501
loss_45.0375 0.00244763348027
loss_59.0475 0.00241499223502
fragment_331.2025 0.00240835078125
fragment_286.0475 0.00238795887322
loss_114.0675 0.00235609984061
fragment_330.0375 0.00235352943548
loss_100.0525 0.00233263667767
fragment_754.3725 0.00233047527175
fragment_284.0675 0.00228634887715
fragment_355.8425 0.00228372589488
loss_65.0625 0.00226570819594
fragment_219.9375 0.00219022942444
fragment_274.0475 0.00216601022244
loss_196.9675 0.00211231643368
loss_15.0275 0.0020758996367
loss_104.0825 0.00207359082133
loss_114.0325 0.0020561979407
loss_70.0725 0.0020458169298
loss_78.0325 0.00201587137557
fragment_344.0525 0.00200811511355
fragment_311.0525 0.00198427343649
fragment_271.0625 0.00197587060806
loss_61.0675 0.00195200717467
loss_52.0525 0.00190483908513
fragment_315.0875 0.00188358912428
fragment_358.1075 0.00188048770732
fragment_299.0525 0.00187396206646
loss_44.0275 0.00186313943456
loss_119.0725 0.00180706212066
loss_141.9275 0.00174606385943
fragment_341.0675 0.0017299315688
fragment_289.0725 0.00172810896977
fragment_298.0825 0.00172069730333
fragment_314.0775 0.00171109901495
fragment_903.4475 0.00170714178628
loss_146.0625 0.00169155844915
fragment_755.3775 0.00169155844915
loss_89.0625 0.0016876196733
fragment_246.9475 0.00168377644847
loss_180.9425 0.00168377644847
loss_72.0625 0.00167247700058
fragment_301.0675 0.00166753421309
loss_91.0425 0.00164212017039
fragment_243.0625 0.00158234654423
fragment_203.9425 0.00156689436038
loss_61.0625 0.0015279220274
fragment_272.0675 0.00151846959834
fragment_310.0475 0.00150039099807
loss_62.7825 0.00149675583351
fragment_312.3275 0.00149675583351
loss_103.0775 0.00149085132138
fragment_326.0725 0.00148346545418
loss_103.0425 0.00148248359738
loss_60.0225 0.00145211123396
loss_49.0625 0.00144816952955
loss_73.0675 0.00143335892508
loss_61.0325 0.00138453984772
loss_116.0825 0.00136659268651
fragment_285.0775 0.00135131582334
loss_88.0875 0.00133328641546
loss_144.0775 0.00132766003298
loss_74.0375 0.00131190073243
fragment_361.0925 0.00130970766875

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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