gnps_motif_6.m2m (GNPS library derived Mass2Motifs)

  • Motif name: gnps_motif_6.m2m
  • Motif set name: GNPS library derived Mass2Motifs
  • Annotation: Diphenyl substructure [ClassyFire; Relevant terms - Substituents: Diphenylmethane - Taxa: Diphenylmethanes]
  • Short annotation: Diphenyl substructure
  • Comment: Derived from gnps_binned_005 ms2lda experiment id=191
  • Original motif: motif_6 (gnps_binned_005)
  • Resolver: mzspec:MOTIFDB::accession:151040
Feature Probability
fragment_167.0875 0.4660322993649
fragment_152.0625 0.083745876069039
fragment_165.0675 0.0553420080911363
fragment_168.0875 0.0464292411748375
fragment_166.0775 0.0224422185795197
loss_159.1275 0.0196294944635394
loss_145.1125 0.0168158954060618
loss_157.1125 0.0151929146245759
loss_191.0675 0.0138097723277851
fragment_608.4025 0.0137897781078778
loss_87.9775 0.0137888670559798
loss_27.0125 0.0137443788708529
fragment_611.2875 0.0135141450913672
fragment_146.0725 0.0123221025687452
fragment_153.0675 0.0107141800171151
fragment_358.1575 0.00859959187539882
loss_198.1025 0.00667898639122846
fragment_168.0925 0.00658073507015446
fragment_208.1325 0.00626172211400524
loss_55.0325 0.00606443964413352
fragment_509.1425 0.0058338266621478
loss_160.1325 0.00560697240898749
loss_79.0375 0.00538504983918055
loss_158.1175 0.00533704280559143
fragment_609.4075 0.0052546721829588
fragment_282.1875 0.00481729606630586
loss_193.0875 0.00449643638635461
fragment_92.0275 0.004413705148485
loss_166.0725 0.00429719001105303
fragment_151.0525 0.00423755916011509
loss_172.1325 0.00416282786461076
fragment_216.9525 0.00387585404446463
loss_161.1425 0.00366619219483671
loss_147.1275 0.00352394261396661
loss_174.1475 0.00336662887070685
fragment_148.0775 0.00294247764768215
loss_194.0675 0.00260600476082374
loss_144.1075 0.00257789140757192
loss_156.1075 0.00256334780470331
fragment_612.2675 0.00245573891185945
loss_141.0775 0.0023466644767237
fragment_467.3275 0.00234529039198141
fragment_157.1025 0.0023015126504246
loss_168.0925 0.00223946904635309
loss_196.1125 0.00222930234985048
fragment_211.0825 0.00220680463714083
fragment_255.0675 0.00219675254232304
fragment_360.1525 0.00212480756856612
fragment_169.0625 0.00203049036262292
loss_113.0825 0.00202752282551772
fragment_94.0225 0.0020144992515857
loss_89.9975 0.00198386182305239
fragment_194.0575 0.00197183402622944
fragment_209.1325 0.00196551507615522
fragment_138.0125 0.00192295926099017
fragment_510.1475 0.00184893875747076
loss_190.0625 0.00182214528975306
fragment_359.1575 0.00180767115732253
fragment_212.1425 0.00180567235810454
loss_192.0775 0.00175652908680624
fragment_128.0625 0.00174112489113233
loss_146.1175 0.00169983343255794
loss_28.0225 0.0016797506149534
fragment_164.0825 0.00167071525853856
fragment_169.0925 0.00166690426194157
fragment_239.1075 0.00165519168624908
loss_86.9775 0.00162737646796793
loss_29.0275 0.00153025278539268
loss_26.0075 0.00148201541142342
fragment_269.1875 0.00139638935263858
loss_61.0325 0.00139318169047315
loss_54.0275 0.00136310216545523
fragment_253.1225 0.00125780284780348
fragment_92.0575 0.00123731180185735
loss_187.1375 0.00118946896557442
fragment_112.1125 0.00118627140728518
fragment_141.0675 0.0011824599586211
fragment_322.0075 0.00117330036050161

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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