gnps_motif_69.m2m (GNPS library derived Mass2Motifs)

  • Motif name: gnps_motif_69.m2m
  • Motif set name: GNPS library derived Mass2Motifs
  • Annotation: H-dibenzo(a d)cyclohepten-5-ylidene substructure (and isomer with three connected benzene rings)
  • Short annotation: H-dibenzo(a d)cyclohepten-5-ylidene substructure (and isomer with three connected benzene rings)
  • Comment: Derived from gnps_binned_005 ms2lda experiment id=191
  • Original motif: motif_69 (gnps_binned_005)
  • Resolver: mzspec:MOTIFDB::accession:151012
Feature Probability
fragment_191.0875 0.0417283006922151
fragment_129.0675 0.0354485511224385
fragment_178.0775 0.0315283785394308
fragment_203.0875 0.0291940857053378
fragment_215.0875 0.024185332096552
loss_60.0825 0.0213658012927728
fragment_202.0775 0.0205733664494891
fragment_217.1025 0.0197516046686057
loss_173.1225 0.0191719841000375
loss_73.0875 0.0186287911179856
loss_61.0875 0.0175845193012153
fragment_179.0875 0.0173027244214539
fragment_205.1025 0.0171586640326607
fragment_115.0525 0.0162204898079732
loss_86.0975 0.0155479860429613
fragment_128.0625 0.0150576968505505
fragment_192.0925 0.0147162101669837
fragment_204.0925 0.0144253259678974
fragment_117.0675 0.0134556858589594
fragment_207.0775 0.0129712899024582
loss_194.1525 0.0123963924751712
fragment_247.1125 0.0116851175628579
fragment_141.0675 0.0116717224502881
fragment_339.1775 0.0112313539307119
loss_165.1175 0.0110857943510147
fragment_218.1075 0.0104129169318597
fragment_194.0725 0.00989098961141391
loss_85.0875 0.00954679194465291
loss_181.1475 0.00921715251093984
fragment_338.1775 0.0090589779599004
loss_46.0675 0.00855099620659393
fragment_220.0875 0.00828004337809145
loss_87.1025 0.00824295807912108
fragment_372.2325 0.00806664835783439
loss_75.1025 0.00805017605473728
loss_74.0975 0.00797793469497173
fragment_193.1025 0.00786688742784122
fragment_165.0675 0.00771235080900805
loss_71.0725 0.00734614340889656
fragment_190.0775 0.00714307530107739
loss_180.1375 0.00704494597351482
loss_93.0575 0.00685827845303017
fragment_216.0925 0.00685801394353393
fragment_208.0875 0.00671908189150187
fragment_229.0975 0.00658355084415189
loss_149.1225 0.00650637789829412
fragment_388.2275 0.0064294860217574
fragment_223.0575 0.00617386984361068
loss_78.0925 0.00612735178715933
loss_147.1025 0.0058110786757831
fragment_221.0975 0.00567120457346941
loss_165.1525 0.00560595512269667
loss_45.0575 0.00555632623569055
fragment_232.0875 0.00553284879100164
loss_72.0825 0.00552666188365404
loss_179.1325 0.00530174284464935
loss_79.0475 0.00523265470911803
fragment_223.1125 0.00521778887404551
fragment_219.0825 0.00515518746278337
loss_109.0875 0.00513763219910966
loss_166.1225 0.00503862997711724
fragment_153.0675 0.00485500517195217
loss_193.1475 0.00470235728897546
loss_119.1325 0.00470057079218127
loss_59.0725 0.00465234021561768
fragment_155.0875 0.00453189431496847
fragment_222.1025 0.00447160053287078
fragment_167.0875 0.00436521165487908
loss_78.0375 0.00435240434459432
fragment_195.0825 0.00434293288623732
loss_123.1025 0.00428067337845624
loss_118.1275 0.00422195139986211
fragment_189.0725 0.00416491572117221
fragment_253.0975 0.00414033736002978
fragment_209.0925 0.0041135877956156
fragment_301.1225 0.00373110970075804
fragment_228.0925 0.00371878069656081
fragment_145.0625 0.00346059051745754
fragment_222.0475 0.00343385391429965
loss_102.0925 0.0033789907083055
loss_159.1075 0.00323354753269188
loss_72.0875 0.00323017694912845
fragment_234.1025 0.00318379981193614
loss_135.1025 0.00317684592519777
fragment_103.0525 0.00313247137690787
loss_167.1325 0.00313034815304977
fragment_206.1075 0.00308922935590304
loss_118.0675 0.00300451452118792
loss_117.1175 0.00297895817492728
fragment_207.1175 0.00291482205852472
fragment_270.1025 0.00287585751908727
fragment_233.0975 0.00284429448437273
fragment_248.1175 0.00265873127204569
loss_151.1375 0.00265271967104584
fragment_373.2325 0.00262334273712811
fragment_241.1025 0.00259953734420598
fragment_142.0775 0.00257391405882933
loss_94.0675 0.00255473110792133
loss_189.1525 0.00249505176293502
loss_131.1325 0.00246687028675767
loss_178.1575 0.00243584877138624
loss_164.1475 0.00230094668497313
loss_99.1025 0.00228763496947888
loss_102.1275 0.00227778893628189
loss_114.0975 0.00221138346755379
fragment_130.0725 0.00220858071426711
loss_62.0975 0.00217326875297205
loss_163.1375 0.0021679381323072
fragment_231.1175 0.00215324177029117
fragment_271.1075 0.00213674178937173
fragment_166.1225 0.00211741957369472
loss_101.1225 0.00210516108878967
fragment_127.0525 0.00210135640135973
fragment_316.1475 0.00209184618182377
loss_157.1475 0.00208862041774418
fragment_252.0925 0.00206275523621649
loss_161.1225 0.00206152967364454
fragment_183.0825 0.00199730847014881
fragment_219.1125 0.0019862126777939
fragment_254.1075 0.00197511413496101
fragment_131.0475 0.00197079745786773
loss_118.1225 0.0019652268362697
loss_115.0975 0.00196348167347514
fragment_155.0625 0.00194780923588936
loss_136.1125 0.00192977820090159
loss_59.0775 0.00189100176929937
loss_110.0975 0.00188127669671164
loss_65.0825 0.00187750369513448
fragment_249.1275 0.00187538532928847
fragment_152.0625 0.00184577994596558
loss_105.0625 0.00184560109745529
loss_31.0425 0.00177335043323086
loss_47.0725 0.00175838757163178
loss_89.1225 0.00172139687035947
loss_44.0575 0.00169834666679675
loss_129.1175 0.00164453837013865
fragment_269.0925 0.00163643005494552
loss_169.1475 0.00163587327589165
loss_179.0775 0.00163096793307482
loss_109.0725 0.00162103818344915
loss_144.1375 0.00161115719823309
fragment_217.0975 0.00161047207043725
fragment_225.0725 0.00160783309946571
fragment_235.1125 0.00160633005085671
loss_131.0775 0.0016044674513424
fragment_181.0625 0.00160413688668516
loss_88.1125 0.00159266574184569
fragment_223.0775 0.00158924019344218
loss_163.1025 0.00158204246362506
fragment_283.1125 0.00156224977920525
fragment_180.0875 0.00154431921434676
loss_88.0775 0.00151564109159876
fragment_293.1175 0.00149690900089862
fragment_231.0775 0.0014832203575962
loss_63.0675 0.00148269883841595
fragment_299.1425 0.00147867596371007
loss_104.0525 0.00146421306493927
loss_168.1375 0.00146260552900382
fragment_147.0275 0.00145929551735929
loss_105.1175 0.00142859240441859
fragment_233.1325 0.00140341068255091
fragment_298.1325 0.00139136196943495
loss_86.1025 0.00138751010156285
loss_133.1475 0.00136911115667207
fragment_243.1125 0.00136178755320649
loss_77.0825 0.00135594876523548
loss_84.0825 0.00135584601394067
fragment_285.1275 0.00134599209908987
loss_111.1025 0.0013344755800011
loss_107.1325 0.00132015797701708
loss_164.1125 0.001302374974491
loss_177.1525 0.0012960893278654
fragment_177.0675 0.00129320117697825
loss_92.0575 0.00128207269792635
fragment_219.1175 0.00128167185412876
fragment_285.1225 0.00128047479438545
loss_120.1375 0.00126196550062644
fragment_116.0575 0.00125585454551656
fragment_199.0775 0.00123847332780268
fragment_209.0425 0.00123209156469951
fragment_300.1475 0.0012299411873927

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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