gnps_motif_274.m2m (GNPS library derived Mass2Motifs)

  • Motif name: gnps_motif_274.m2m
  • Motif set name: GNPS library derived Mass2Motifs
  • Annotation: 3-oxo-delta-1 4-progestogin based steroid related Mass2Motif
  • Short annotation: 3-oxo-delta-1 4-progestogin based steroid
  • Comment: Derived from gnps_binned_005 ms2lda experiment id=191
  • Original motif: motif_274 (gnps_binned_005)
Feature Probability
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fragment_147.0775 0.0211784441885
fragment_263.1425 0.0183828885125
fragment_237.1275 0.0160896177562
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fragment_225.1275 0.00975680430079
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fragment_261.1275 0.00944824082358
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fragment_262.1325 0.00755539706339
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fragment_279.1725 0.00666837360164
fragment_197.0975 0.00661669516034
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fragment_135.0775 0.00558048294877
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fragment_179.0825 0.00391143259405
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fragment_301.1575 0.00380107348262
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fragment_107.0875 0.00373432694787
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fragment_199.1125 0.0035470849191
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fragment_238.1325 0.00320386087372
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fragment_212.1175 0.00306160715318
fragment_133.0625 0.00303887279321
fragment_245.0975 0.00303517466099
fragment_205.1025 0.00303134574334
fragment_249.1225 0.00302748864924
fragment_143.0825 0.00295646732555
fragment_169.0625 0.00293839835139
fragment_211.1075 0.00293696502233
fragment_278.1625 0.00290691029987
fragment_291.1725 0.00287896754463
fragment_183.0825 0.00283111661116
fragment_195.0825 0.00279697017838
fragment_117.0675 0.00274581040688
fragment_259.1125 0.00271175110564
loss_182.0975 0.0027094599874
loss_174.0925 0.00269631531167
fragment_193.0975 0.00264590207618
loss_184.0775 0.00260845619459
loss_186.0925 0.00257725065375
fragment_115.0525 0.00250829825963
fragment_119.0825 0.00244055096255
fragment_131.0875 0.00239345784339
fragment_141.0675 0.00237411063844
fragment_207.1175 0.00235969104905
fragment_145.1025 0.00235210861508
loss_198.0925 0.00233335721196
fragment_286.1325 0.00230966885174
fragment_181.0975 0.00230371695536
fragment_131.0825 0.00228521997596
loss_188.1075 0.00227583648346
fragment_219.1175 0.00223186516047
loss_156.0825 0.00221931887122
fragment_122.0675 0.00219246233276
fragment_179.0875 0.00217231553119
fragment_220.0875 0.00214318261218
fragment_253.1575 0.00213894778523
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fragment_172.0875 0.00210369530684
fragment_319.1675 0.00206729517044
fragment_278.1675 0.00204585618643
fragment_193.1025 0.00204536629628
fragment_105.0725 0.00203539127498
fragment_481.3025 0.00203156653846
fragment_321.1475 0.00202770948381
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loss_187.1025 0.0019793171364
fragment_192.0925 0.00196216044616
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loss_198.0875 0.00192782641298
fragment_276.1475 0.00191695336094
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fragment_187.1125 0.00187610341289
fragment_303.1375 0.00187501586324
loss_196.0775 0.00187189530521
fragment_195.1175 0.00185854124147
fragment_230.1075 0.00184499151988
fragment_277.1225 0.00183267595082
loss_190.1225 0.00182875135153
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loss_199.1025 0.00173607943013
fragment_272.1175 0.00172289461996
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fragment_245.1325 0.00165463236219
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fragment_227.1425 0.00160159754905
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fragment_178.0775 0.00154758951596
loss_175.0975 0.00153312486957
loss_160.0725 0.00153300835115
fragment_245.0925 0.00150560669407
fragment_155.0875 0.00149375471821
fragment_199.1075 0.00147571557359
fragment_145.0975 0.0014626906761
fragment_291.1375 0.00145819116298
fragment_248.1225 0.00142723683892
fragment_142.0775 0.00142464569367
fragment_191.0825 0.00142266977179
loss_170.0975 0.00141556411783
fragment_146.0675 0.00141339889744
fragment_266.1625 0.0014094676458
fragment_237.0925 0.00140821326275
fragment_189.0725 0.00138971695086
fragment_107.0825 0.00138912108802
fragment_243.1175 0.00137470433581
fragment_217.0975 0.00136488134857
fragment_281.1525 0.00135090766155
fragment_238.0975 0.00130695214556
fragment_231.1125 0.00130407572952
fragment_252.1475 0.00128810378979
fragment_258.1025 0.00127930767019
fragment_187.1075 0.00126799740029
fragment_257.1325 0.00126161730849
fragment_287.1425 0.00125330004953
fragment_207.1125 0.0012468861697
fragment_186.1025 0.00123651431094
loss_199.0975 0.00123364685448
fragment_231.1175 0.00122569578828
fragment_225.1225 0.00121618101298
fragment_219.0825 0.00120961148419
fragment_132.0575 0.00119845688654
loss_130.0675 0.00119774443674
fragment_285.1275 0.00119243426716
fragment_233.1325 0.00118811779929
loss_180.1425 0.00118259468449
fragment_265.1225 0.00117840968039
fragment_205.0975 0.00117565787552
loss_144.0425 0.00117076116588
fragment_307.1675 0.0011616916734
loss_196.1125 0.00116092572947
loss_187.0975 0.00115326976267
fragment_155.0825 0.00115324880152
loss_172.1125 0.00115103513954
fragment_278.1275 0.00114879040765
fragment_264.1125 0.00114744987126
loss_173.0875 0.00113966113111
fragment_221.1325 0.00112783710175
fragment_274.1775 0.00112753654584
fragment_226.1325 0.00112081451438
loss_188.0875 0.00111853408827
fragment_186.0975 0.00110775984192
loss_186.0875 0.00110303810295
fragment_229.0975 0.00109646954168
fragment_151.0725 0.00109515078363
fragment_191.0875 0.00108630938181
fragment_204.0925 0.00107819364035
fragment_167.0825 0.00107469884406
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loss_192.1025 0.00104722228695
loss_180.0825 0.00104472112271
fragment_263.1075 0.001042866256
fragment_233.0925 0.0010419367602
fragment_203.0875 0.00103850237205
fragment_129.0725 0.00102805716426
fragment_157.0975 0.00102411135095
fragment_144.0575 0.00101943071403
fragment_109.0625 0.00101585706594
loss_144.0825 0.00101009583038

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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