gnps_motif_72.m2m (GNPS library derived Mass2Motifs)

  • Motif name: gnps_motif_72.m2m
  • Motif set name: GNPS library derived Mass2Motifs
  • Annotation: Diethylamino /dimethylaminoethyl substructure
  • Short annotation: Diethylamino /dimethylaminoethyl substructure
  • Comment: Derived from gnps_binned_005 ms2lda experiment id=191
  • Original motif: motif_72 (gnps_binned_005)
  • Resolver: mzspec:MOTIFDB::accession:151035
Feature Probability
loss_73.0875 0.39799777175044
loss_101.0825 0.0628960625129117
loss_72.0875 0.0420323313515963
fragment_313.1775 0.0210300112080972
fragment_570.3075 0.0201757530250055
fragment_671.3925 0.0176128594629436
loss_100.0825 0.0151706926931129
loss_141.0775 0.0150886848754331
fragment_571.3075 0.0129470354517651
fragment_672.3925 0.011457505861792
fragment_277.0675 0.0114193769565594
fragment_509.4025 0.0109536988486763
loss_146.9775 0.0109536988486763
fragment_694.4175 0.010953659762217
fragment_570.3025 0.0109536541717792
fragment_595.2775 0.0109535776425612
fragment_404.2325 0.0109535230273145
fragment_608.3675 0.0109525759720466
loss_91.0575 0.0105122894461049
fragment_433.1875 0.0100445927216007
fragment_416.1575 0.00923410038670607
fragment_476.3125 0.00879599685631152
loss_147.0675 0.00874192755125067
loss_71.0925 0.00859493072902757
loss_145.9825 0.00852222085206986
fragment_363.2275 0.00810598283067663
fragment_695.4225 0.00719691673353724
loss_92.0625 0.00619497511785337
fragment_285.0625 0.00525493671428608
fragment_312.1675 0.00520340708069996
fragment_225.0625 0.00423943378574085
loss_196.1225 0.00415024513954078
fragment_314.1825 0.00410824957436981
fragment_596.2825 0.00398772284121558
fragment_298.1425 0.00393924891961031
loss_183.1125 0.00393102670949992
loss_146.0625 0.00390930950987677
loss_182.1075 0.00381613188418347
fragment_221.1175 0.00371643201626832
fragment_251.0875 0.00346049741542261
fragment_181.0875 0.00345187720360538
fragment_673.3925 0.00342924634817837
fragment_349.1825 0.00341668720958405
loss_116.1075 0.00340981510051666
fragment_270.0875 0.00327588483082021
fragment_222.1275 0.00326341697226567
fragment_317.2125 0.00317731122441922
fragment_405.2325 0.00313338287931306
fragment_367.2725 0.0030787362227301
fragment_208.1125 0.00305924266371266
fragment_292.1275 0.00297190999080824
fragment_244.0975 0.00294616648413307
fragment_417.1625 0.00293635163306485
fragment_220.1125 0.0029034883994431
fragment_430.3075 0.00289254353249688
fragment_279.0625 0.00288027725124404
fragment_264.1575 0.00279859868060514
loss_184.1225 0.00278738337901975
loss_31.0425 0.00276538662192839
fragment_434.1875 0.00271730177673142
fragment_609.3675 0.00261681456211237
fragment_477.3125 0.00259682323735798
fragment_118.0675 0.00258011855440411
loss_153.0775 0.00257288841982214
fragment_251.1525 0.00255388366208012
fragment_206.0975 0.00250557703447216
fragment_158.0975 0.00248071395196647
fragment_168.0825 0.0024686500749349
fragment_196.1125 0.00243660829268914
fragment_297.1325 0.00243245302957138
fragment_296.1775 0.00236670049252495
fragment_209.1175 0.00235731393667609
loss_195.1125 0.00226812242595828
loss_88.1125 0.00224603372904069
loss_198.1375 0.00209627580441528
loss_142.0875 0.00208471462042028
loss_43.9875 0.00207865792624456
fragment_266.1875 0.00203822989941356
fragment_564.2375 0.00203079025508985
fragment_182.0975 0.00200680957044007
fragment_672.3875 0.00199442445698335
loss_90.0575 0.00198151596645348
fragment_173.0725 0.00193463236861551
fragment_696.4225 0.00192871442438542
loss_118.1125 0.00178397806213789
loss_152.0775 0.00170922467153342
loss_104.0575 0.00169110863754088
fragment_278.0675 0.00168644686360317
fragment_364.2225 0.0016768045453079
fragment_360.2425 0.00167182795112115
fragment_234.1275 0.00165086336855938
fragment_268.1775 0.00159973482037246
loss_99.0825 0.00157821209218891
loss_170.1075 0.00156647016988954
fragment_239.1525 0.00154850858719054
fragment_269.1875 0.00154410655883752
fragment_252.1575 0.00154207521209622
loss_194.1075 0.00153749148667719
fragment_152.1425 0.00152911013089498
fragment_211.1225 0.00152090523462123
fragment_183.1025 0.00151696781813274
fragment_156.0425 0.00150975593009856
loss_30.0375 0.00145436325909102
loss_135.0475 0.00143514038311736
fragment_169.0875 0.0013965413981566
fragment_597.2875 0.00139195590809688
loss_108.0575 0.0013738660802428
loss_193.1125 0.00136325231439358
fragment_242.0925 0.00133731161592518
fragment_300.1725 0.00133715353408627
fragment_223.0175 0.00132642589527803
fragment_237.1375 0.00131209171532697
fragment_207.1025 0.00129278241600882

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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