gnps_motif_9.m2m (GNPS library derived Mass2Motifs)

  • Motif name: gnps_motif_9.m2m
  • Motif set name: GNPS library derived Mass2Motifs
  • Annotation: Isopropyl/propylamine substructure (loss based) or isopropyl/propyl side chain
  • Short annotation: Isopropyl/propylamine substructure (loss based) or isopropyl/propyl side chain
  • Comment: Derived from gnps_binned_005 ms2lda experiment id=191
  • Original motif: motif_9 (gnps_binned_005)
Feature Probability
loss_42.0475 0.216103933807
fragment_229.0475 0.101676634957
loss_84.0925 0.0907410227726
fragment_185.0575 0.0460394019459
loss_101.1225 0.029903708296
fragment_157.0775 0.0291317093073
fragment_244.0625 0.0281102012967
fragment_202.0175 0.0221931763703
fragment_184.9925 0.0207518300431
fragment_286.1125 0.0196775625396
fragment_149.0325 0.016216550364
loss_137.0775 0.0159951788388
loss_176.0175 0.0140557640884
fragment_347.1025 0.0140555923766
fragment_395.1475 0.0140555124803
fragment_300.1225 0.0140548414499
fragment_121.0275 0.0138542969231
loss_110.1125 0.0121182249784
fragment_285.0375 0.0115256682136
fragment_291.0875 0.0114993145466
fragment_242.0575 0.00920297694072
loss_44.0525 0.00877118402057
loss_41.0425 0.00850994445703
fragment_173.0575 0.00733802538539
fragment_353.1025 0.00704896154845
fragment_339.0875 0.00682826612448
fragment_216.1025 0.00650029715958
fragment_301.1325 0.00642340670983
loss_41.0375 0.00636727357159
fragment_383.1125 0.0057802462951
loss_96.0925 0.00556719826376
fragment_299.0525 0.00503285796818
loss_126.0675 0.00471294875462
fragment_186.0625 0.00464601527307
loss_60.0575 0.00463987851254
loss_54.0475 0.00445630142676
fragment_341.1025 0.00426539053181
fragment_247.0575 0.00403497978648
loss_148.0025 0.00401984805093
loss_98.1125 0.00387951747048
fragment_185.0975 0.0038714151258
fragment_311.0525 0.00363916473517
fragment_297.0425 0.00350049680423
fragment_396.1475 0.00345849272242
fragment_365.1025 0.0032667498723
loss_169.1125 0.00326578683477
fragment_288.0275 0.00324776101837
fragment_203.0925 0.0031749817285
loss_100.0875 0.0031220212615
fragment_200.1175 0.00309317018963
loss_109.1075 0.00305805095419
loss_99.0775 0.00299413325531
fragment_243.0925 0.00299411780236
loss_132.9775 0.0029808985358
fragment_305.0525 0.002966672957
fragment_286.0475 0.00292441796145
fragment_293.0825 0.00290576364092
loss_83.0925 0.0028546691404
loss_139.0775 0.00277164745083
fragment_129.0425 0.00276002359606
fragment_199.0375 0.00263632041338
fragment_287.1175 0.00246092507727
loss_30.0475 0.00241412809275
fragment_335.0925 0.00219043667716
loss_165.0775 0.00212620414772
fragment_282.1125 0.00209835201774
fragment_272.1275 0.00205485129951
fragment_198.0175 0.00205313722716
loss_70.0775 0.00203832585059
loss_171.1275 0.00191278078807
fragment_245.9775 0.00187043010334
fragment_324.0625 0.00184991895195
loss_72.0925 0.0018289782516
loss_98.0975 0.00181625853811
fragment_323.0575 0.00181412914894
loss_154.0625 0.00181160597081
fragment_325.0675 0.00178132825448
loss_40.0475 0.00177448121562
fragment_247.0175 0.00177204926681
loss_104.0825 0.00176776129089
loss_122.1075 0.00176104164467
fragment_171.0425 0.00175525276395
fragment_273.0375 0.00172980571784
loss_88.0875 0.00172172728069
loss_98.0725 0.00168851377149
loss_71.0875 0.00157942342794
fragment_246.0625 0.00156144360985
fragment_354.1025 0.00156077924174
fragment_100.1125 0.00153005812553
fragment_257.0425 0.00152802601674
loss_117.0925 0.00151950264846
fragment_245.0675 0.00151928041606
fragment_240.0575 0.00151721328382
loss_185.9975 0.00149117162021
fragment_243.0175 0.00149096140129
loss_107.0375 0.0014627846241
fragment_309.0725 0.00139324667088
fragment_230.0525 0.00135925136836
fragment_259.0175 0.00135041744356
fragment_263.0075 0.00132780485276
fragment_377.1375 0.00130817368154
fragment_384.1125 0.00129432613113
loss_46.0425 0.00129300644944
fragment_321.0775 0.00127736723756
loss_18.0125 0.00127093855312

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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