gnps_motif_39.m2m (GNPS library derived Mass2Motifs)

  • Motif name: gnps_motif_39.m2m
  • Motif set name: GNPS library derived Mass2Motifs
  • Annotation: Hydroxy-Pregnenolone related fragments (not very specific - indicative for presence of steroid backbone)
  • Short annotation: Hydroxy-Pregnenolone related fragments (not very specific - indicative for presence of steroid backbone)
  • Comment: Derived from gnps_binned_005 ms2lda experiment id=191
  • Original motif: motif_39 (gnps_binned_005)
  • Resolver: mzspec:MOTIFDB::accession:151004
Feature Probability
fragment_159.1175 0.0389787256813073
fragment_133.1025 0.0384920731659646
loss_132.1175 0.0309738099062002
fragment_135.1175 0.0303772094654323
loss_144.1125 0.0293974273895667
loss_186.1625 0.0284042727375936
fragment_107.0875 0.0281184277663747
fragment_145.1025 0.0279787196625022
loss_36.0225 0.0273337656688177
loss_158.1325 0.0259777630763939
loss_184.1475 0.0224634245076176
loss_118.0975 0.0215620934447808
fragment_161.1325 0.021159502792293
fragment_121.1025 0.0196469311848432
fragment_157.1025 0.0192519198210297
loss_146.1325 0.0189324214361054
loss_76.0525 0.0182650870737525
fragment_149.1325 0.0180590692863291
fragment_119.0875 0.017333266894178
loss_198.1625 0.0173034596748919
loss_172.1475 0.0168379965822736
loss_160.1475 0.0162753156173179
fragment_255.2125 0.0155242056971613
fragment_131.0875 0.0155232917864855
fragment_199.1475 0.015100080655675
loss_170.1325 0.0150336791673685
loss_130.0975 0.0149423297278578
fragment_173.1325 0.0132629646542948
loss_156.1175 0.0131943505099529
fragment_109.1025 0.0131168106743773
loss_92.0825 0.0127987631722643
loss_134.1325 0.0121123175146258
fragment_213.1625 0.00996795053337942
loss_106.0975 0.00959324359340482
fragment_187.1475 0.00938528902599746
loss_168.1525 0.00930803700775491
fragment_175.1475 0.00812236431911334
fragment_143.0875 0.00792331217860806
fragment_299.2375 0.00759825192003728
fragment_201.1625 0.00755733322887561
fragment_95.0875 0.00746054294720946
fragment_129.0675 0.00727140948131412
loss_92.0875 0.0070091128064839
fragment_185.1325 0.0068871134666065
fragment_275.2025 0.00625251718763754
fragment_253.1775 0.00618805704526617
loss_197.0175 0.00618805704526617
fragment_227.1775 0.00600133529745242
fragment_215.1775 0.00568967328706216
loss_148.1475 0.00546429029000975
loss_174.1625 0.00532923333084717
fragment_144.0925 0.00514330791571731
fragment_281.2275 0.00505952587995741
fragment_123.1175 0.00493979771922982
loss_76.0575 0.00491311620492547
fragment_117.0675 0.00488125069221337
fragment_265.1825 0.00485126811439472
loss_104.0825 0.00481270550729748
loss_185.0125 0.00471544672952439
loss_140.1225 0.00418616423387974
fragment_283.2425 0.00409750540666261
loss_116.0825 0.00403576522531306
loss_166.1375 0.00398600882967392
loss_147.1375 0.00392696364458633
loss_162.1625 0.00381519000305104
loss_100.0875 0.00380786228637467
loss_154.1375 0.00376723460787004
loss_128.1225 0.00370751185212638
loss_78.0675 0.0036692770398071
fragment_189.1625 0.00363215270322048
loss_120.1175 0.00347500627693252
fragment_217.1575 0.00332630281733553
loss_157.1275 0.00331349262027295
loss_188.1775 0.00325742861699374
fragment_317.2475 0.00307387064353007
fragment_162.1375 0.00301390119662949
loss_114.1075 0.00301375846673942
loss_112.0875 0.00279277691480512
loss_17.0075 0.00274380136488719
fragment_257.2275 0.00270142458250777
loss_130.1375 0.00269761272942354
fragment_137.1325 0.00269261033496417
loss_126.1025 0.00261718606340165
fragment_241.1925 0.00260286083660807
fragment_276.2075 0.00238250039197205
loss_129.1275 0.00236086796573318
loss_180.1525 0.00232960187135378
loss_182.1675 0.00224010359284945
fragment_163.1475 0.00224003736592513
fragment_300.2375 0.00212901560120916
loss_74.0725 0.00190635658690988
loss_138.1025 0.00189586047545743
fragment_158.1075 0.00182374648114385
fragment_147.1175 0.0018200385454881
loss_144.1525 0.00180900502764446
fragment_142.0775 0.00174990711378422
loss_170.0275 0.00168978940012217
loss_147.1425 0.00159940278415361
loss_156.1525 0.00154420306873718
loss_198.0575 0.00153510344258627
loss_115.9825 0.00151035368938054
fragment_207.1525 0.00146704162127048
loss_116.1225 0.00144310781656656
fragment_310.2175 0.0014180368741639
fragment_211.1475 0.00141486259029348
loss_139.9725 0.00141135467655756
fragment_216.1825 0.00138790242796392
loss_133.1225 0.00135248634308469
fragment_254.1775 0.0013494802935432
loss_196.0175 0.0013494802935432
loss_75.0475 0.0013367280182977
loss_168.1175 0.00132417125356279
fragment_257.1925 0.0013232563384564
loss_18.0075 0.00131625185595789
loss_157.0075 0.00129998078713171
fragment_293.1875 0.00129998078713171
loss_152.1225 0.00126540233394421
loss_158.1675 0.00124443473811094
loss_139.1225 0.00123690207786859
loss_194.1675 0.00121315393449737
loss_58.0425 0.00117571520150733
loss_131.1525 0.00115754911204621
fragment_134.1025 0.00115754911204621
loss_184.0075 0.00114529482959581
fragment_266.1825 0.00114529482959581

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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