gnps_motif_10.m2m (GNPS library derived Mass2Motifs)

  • Motif name: gnps_motif_10.m2m
  • Motif set name: GNPS library derived Mass2Motifs
  • Annotation: cinchonan-9-ol substructure
  • Short annotation: cinchonan-9-ol substructure
  • Comment: Derived from gnps_binned_005 ms2lda experiment id=191
  • Original motif: motif_10 (gnps_binned_005)
  • Resolver: mzspec:MOTIFDB::accession:151072
Feature Probability
fragment_325.1925 0.10278627590983
loss_165.1175 0.079326900197118
fragment_160.0775 0.0565853106265965
loss_153.1175 0.0405431472664935
fragment_172.0775 0.0382416212542729
fragment_307.1775 0.0381991479930621
loss_141.1175 0.02583355474054
fragment_184.0775 0.0238589967309024
loss_139.1025 0.020789811495352
fragment_186.0925 0.0181093742154443
loss_127.0975 0.0170702660425114
loss_152.1075 0.0160527819103048
loss_18.0125 0.0147649424354216
loss_72.0575 0.0128684775305217
fragment_173.0825 0.0126362452524688
fragment_253.1325 0.0121858499639907
fragment_166.1225 0.011149128000426
loss_136.1125 0.0107039687579221
loss_159.0675 0.0103332269345415
loss_115.0975 0.00964734304455122
loss_74.0725 0.00954476350524298
fragment_189.0775 0.009476597619459
fragment_198.0925 0.00934378040567959
loss_167.1325 0.00912596846810913
loss_151.0975 0.00876827572551543
fragment_251.1175 0.00827619790160668
fragment_122.0775 0.00804383697976749
loss_144.0425 0.00804246675306544
fragment_158.0625 0.00768185160005631
fragment_174.0925 0.00728365969470781
loss_123.1025 0.00695633329468959
fragment_326.1925 0.00663652450684325
fragment_210.0925 0.0062947800585676
fragment_183.0675 0.0061436197789767
loss_170.1175 0.00596002048579647
fragment_161.0825 0.00594534168329672
fragment_174.0525 0.00579052070567979
loss_151.1375 0.00577471308181483
fragment_202.0875 0.00544293183057994
loss_180.1375 0.00525276274393929
fragment_169.0525 0.00524396120053645
fragment_136.1125 0.00524173280767239
fragment_145.0525 0.00518809526517455
loss_142.1225 0.00515780772993367
fragment_198.0875 0.00512362351002788
loss_191.0925 0.00505194164878367
loss_128.1075 0.00491336288091272
fragment_134.0975 0.00487778749623385
loss_137.1225 0.004812230118855
loss_164.1125 0.0047800874648467
loss_189.0775 0.00473127032727801
fragment_252.1225 0.00471320439497608
loss_98.0725 0.00468799925909797
loss_101.0825 0.0046321229003665
fragment_108.0825 0.00461486118733305
fragment_167.0725 0.00443442688819245
fragment_154.0625 0.0042695340123025
loss_129.1175 0.00426917914305202
loss_158.1175 0.00425604891273212
fragment_188.0725 0.00413417034392614
loss_60.0575 0.00411014136712197
fragment_224.1075 0.00410550304316796
loss_143.1325 0.00406997210094637
fragment_197.0825 0.00383820118637786
fragment_159.0675 0.00378135806531119
loss_73.0675 0.00367642854207925
loss_140.1125 0.00365633375265774
loss_171.1275 0.00365225134734441
loss_166.1225 0.00363384133748048
fragment_185.0825 0.00360698074131253
fragment_117.0575 0.00346333708498043
fragment_196.0775 0.00338751960494214
fragment_155.0725 0.00331391783442345
fragment_279.1475 0.00321640892110565
fragment_265.1325 0.00320137375438123
fragment_279.1525 0.00315310793063837
fragment_264.1375 0.00310789768677798
fragment_308.1825 0.00310486765202923
loss_182.1175 0.00308264763976189
loss_164.1075 0.00304407046492961
fragment_143.0725 0.00298951329189635
loss_73.0625 0.00298382188875275
fragment_214.0875 0.00286440940035171
loss_100.0875 0.00282252474938786
loss_17.0125 0.00272027586420859
fragment_199.0875 0.00266082999488147
loss_126.1025 0.00258508919579495
loss_111.1025 0.00252595964598916
loss_155.1325 0.00251621992162977
loss_17.0075 0.00243042896494643
loss_122.0625 0.0024052547094403
fragment_144.0575 0.00240524579641151
fragment_182.0625 0.00221222621070222
fragment_180.0825 0.00217640882526673
fragment_237.1025 0.00211574634593477
fragment_211.0875 0.00208359423473346
fragment_171.0625 0.00204841376130427
loss_89.0825 0.00203488578239346
fragment_170.0575 0.00201735366672244
fragment_110.0975 0.00199311019465562
fragment_225.1025 0.00197101168767658
loss_99.0725 0.00193176014533259
loss_59.0425 0.00193015742313806
loss_163.1025 0.00189850205159873
fragment_182.0575 0.00185842885442903
loss_111.1075 0.00184234509775626
fragment_236.1075 0.00179450577934299
fragment_278.1475 0.00179409400647285
loss_125.1225 0.0017859600156012
fragment_226.1225 0.00177105751863965
loss_154.1275 0.00176996023742335
fragment_162.0925 0.00176886107797628
fragment_200.0725 0.0016895451795157
fragment_210.0875 0.00164130524758582
fragment_266.1475 0.00163348553212478
loss_140.1075 0.00159080982812948
loss_99.0675 0.0015775429463365
loss_145.1125 0.00156799806038631
loss_47.0425 0.00156088515843382
loss_61.0525 0.00155304213898867
fragment_278.1525 0.00152867604874739
fragment_227.1175 0.00150458266433273
loss_61.0575 0.00148851189047734
fragment_264.1325 0.00148851161712486
loss_46.0425 0.00147129092064657
loss_88.0875 0.00146436125486263
loss_113.0825 0.00143486659279156
fragment_212.1075 0.00141644212258131
loss_179.1325 0.00140993144737611
fragment_254.1375 0.00139200989213436
loss_71.0575 0.00139200987267443
loss_87.0675 0.00135826871153519
loss_156.1375 0.00134763485411792
fragment_308.1775 0.0013437613395958
fragment_238.1225 0.00131976172589633
fragment_142.0675 0.00131919065556217
loss_187.0675 0.00129215228786134
loss_114.1025 0.00125579472457281
loss_181.1125 0.0012212722032923
loss_142.1275 0.00121509663356304
loss_139.1375 0.00121476415221438
loss_112.0875 0.00121439100986811
loss_72.0525 0.00119896170461888
loss_47.0375 0.00118927056981413
fragment_115.0525 0.00118498999577691

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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