gnps_motif_67.m2m (GNPS library derived Mass2Motifs)

  • Motif name: gnps_motif_67.m2m
  • Motif set name: GNPS library derived Mass2Motifs
  • Annotation: genistein related
  • Short annotation: genistein related
  • Comment: Derived from gnps_binned_005 ms2lda experiment id=191
  • Original motif: motif_67 (gnps_binned_005)
  • Resolver: mzspec:MOTIFDB::accession:151042
Feature Probability
fragment_271.0575 0.121902178904824
loss_110.0725 0.0622045984077969
fragment_357.1325 0.0412585047616101
fragment_313.1925 0.0380291408000924
fragment_203.1175 0.0357019303484537
fragment_539.0975 0.0265614393018903
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loss_50.5175 0.0191233322878332
fragment_538.6225 0.0191233322878332
fragment_193.0075 0.0191228506485786
loss_181.6175 0.0180142899193757
fragment_407.5275 0.0180142899193757
fragment_165.0175 0.016596602518381
fragment_889.6175 0.0152799268385237
fragment_377.0675 0.0139986313538503
loss_162.0325 0.0139122355955391
loss_99.1025 0.0135589990254
fragment_358.1325 0.0128700810516207
loss_118.0425 0.0115318930356387
fragment_790.5125 0.00969647215594463
loss_98.1025 0.00969647215594463
loss_182.3925 0.00870215830836206
loss_59.8875 0.00839621558602896
fragment_540.0975 0.00831960482969006
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fragment_344.0225 0.00797554434282096
loss_36.0225 0.00746457857794141
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fragment_135.1025 0.00709191167612748
loss_152.0125 0.00699405901285457
loss_74.0075 0.00682820733452087
fragment_314.1925 0.0063883037050523
fragment_508.2025 0.00636934505057219
loss_80.9425 0.00636934505057219
fragment_197.0525 0.00623549510955145
loss_60.7525 0.00613988800882236
fragment_528.3875 0.00613988800882236
fragment_569.2575 0.00543239546342708
loss_19.8875 0.00543239546342708
loss_109.0725 0.00537343617026265
fragment_359.1225 0.00527793485426075
fragment_204.1225 0.00510716124469431
fragment_304.6275 0.00501172422021906
fragment_419.0775 0.00478210688931984
loss_120.0225 0.00478210449841253
fragment_387.0825 0.00470562120986612
loss_54.0325 0.00463092329645976
fragment_521.0875 0.00462925043907043
fragment_265.0475 0.00459839037229779
fragment_256.0875 0.00457193155686523
fragment_345.1475 0.00445720303599032
loss_42.7375 0.00439983877555287
loss_26.8925 0.00439983877555287
fragment_388.4875 0.00434247451511542
fragment_417.0225 0.00409389605321977
loss_172.1225 0.00409389605321977
loss_41.1675 0.00407477463307395
fragment_547.9775 0.00407477463307395
fragment_287.0525 0.00396817960378145
fragment_121.0275 0.00396424794387908
fragment_307.0575 0.00388662827075498
loss_191.7575 0.00369234623015757
fragment_397.3875 0.00369234623015757
fragment_347.8625 0.0036158605495743
fragment_378.0675 0.00359657886318545
loss_161.0275 0.00359657886318545
loss_118.9275 0.00355849628913685
fragment_470.2175 0.00355849628913685
fragment_272.0625 0.00345280536810901
fragment_436.5975 0.00344376776826193
loss_152.5475 0.00344376776826193
fragment_431.1225 0.00342464634811611
loss_158.0125 0.00342464634811611
loss_99.7925 0.00340552492797029
fragment_489.3525 0.00340552492797029
fragment_265.7625 0.00336728208767866
fragment_243.0625 0.00331300755557505
loss_173.1775 0.00315694646607465
fragment_415.9625 0.00315694646607465
fragment_335.0575 0.00289163603055716
loss_181.1125 0.00283156114097499
fragment_301.3425 0.00281276090344992
fragment_237.2425 0.0027936394833041
fragment_312.6925 0.00267891096242919
loss_82.1125 0.00252593960126264
fragment_507.0325 0.00252593960126264
loss_164.5525 0.00244945392067937
fragment_347.0525 0.00244929369771562
loss_138.0675 0.0023955670627378
loss_35.0175 0.00235380133842801
fragment_289.0625 0.00233426724376386
fragment_567.9425 0.002277361139367
loss_21.1975 0.002277361139367
fragment_273.0675 0.00226039468999436
loss_167.0925 0.00224838606534268
fragment_357.5975 0.00221999687892954
fragment_326.3725 0.00220087545878372
fragment_146.0975 0.00218283397124032
fragment_581.9075 0.00218175403863791
fragment_266.9725 0.00216263261849209
loss_120.0875 0.00214445352908897
loss_69.5225 0.00214351119834627
fragment_519.6225 0.00214351119834627
fragment_469.0575 0.00212438977820045
fragment_303.7725 0.00210526835805464
fragment_471.2175 0.00206702551776299
loss_117.9325 0.00206702551776299
loss_42.0175 0.00204796888853475
loss_62.3075 0.00204790409761717
fragment_526.8375 0.00204790409761717
fragment_333.8175 0.00204790409761717
fragment_497.0825 0.0020286224826412
fragment_346.5625 0.00199053983717972
loss_82.0275 0.00199049448402791
fragment_493.0775 0.00199049448402791
loss_129.9925 0.00198231603495346
fragment_235.1075 0.0019714184170339
loss_156.3875 0.00195229699688808
fragment_432.7575 0.00195229699688808
fragment_305.3375 0.00191405415659645
fragment_251.0575 0.00191405415659645
fragment_306.7575 0.00185668989615899
loss_175.7975 0.00179932563572154
fragment_413.3475 0.00179932563572154
fragment_284.3775 0.00179932563572154
fragment_396.6125 0.00176108279542989
fragment_338.3475 0.00176108279542989
loss_192.5325 0.00176108279542989
loss_192.0425 0.00170562679826912
fragment_319.0625 0.00170526221342605
fragment_509.8525 0.00162723285440917
loss_79.2875 0.00162723285440917
loss_138.0325 0.00162701601252249
fragment_209.0375 0.00160811143426335
fragment_401.0675 0.00160795128228587
fragment_520.4525 0.00158899001411753
loss_68.6925 0.00158899001411753
fragment_388.0875 0.00158882986462702
loss_151.0125 0.00158882986462702
fragment_252.1025 0.0015507471738259
fragment_467.9775 0.0015507471738259
loss_121.1675 0.0015507471738259
fragment_541.0975 0.00155063121940809
fragment_404.0525 0.00155058702949331
loss_53.0275 0.0015315804137119
fragment_522.0925 0.0015315804137119
fragment_335.3775 0.00151250433353426
fragment_283.0625 0.00150476305108577
fragment_532.7775 0.00147426149324261
loss_56.3675 0.00147426149324261
loss_96.0425 0.00147426149324261
fragment_379.9275 0.00147426149324261
fragment_341.5525 0.00145514007309679
fragment_324.3625 0.00143601865295098
fragment_421.0575 0.0014358585257405
fragment_500.3275 0.00137865439251352
loss_88.8175 0.00137865439251352
fragment_550.3475 0.00135953297236771
loss_38.7975 0.00135953297236771
fragment_241.0475 0.00135863638775244
loss_75.5975 0.00132129013207607
fragment_513.5475 0.00132129013207607

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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