gnps_motif_66.m2m (GNPS library derived Mass2Motifs)

  • Motif name: gnps_motif_66.m2m
  • Motif set name: GNPS library derived Mass2Motifs
  • Annotation: Loss of [hexose-H2O] – indication of hexose conjugation (for example glucose) [ClassyFire - Relevant terms - Substituents: Hexose monosaccharide - Taxa: None]
  • Short annotation: Loss of [hexose-H2O] – indication of hexose conjugation (for example glucose)
  • Comment: Derived from gnps_binned_005 ms2lda experiment id=191
  • Original motif: motif_66 (gnps_binned_005)
  • Resolver: mzspec:MOTIFDB::accession:151078
Feature Probability
loss_162.0525 0.290574606505641
fragment_245.1175 0.0287743079090541
fragment_227.1075 0.0224667278307701
fragment_243.0975 0.0211826784773526
fragment_260.0375 0.0183617663522494
fragment_440.0875 0.0183617663522494
loss_86.1675 0.0183617663522494
fragment_542.3575 0.0183617663522494
fragment_907.4875 0.0183617540565762
fragment_172.0025 0.0183617032026694
fragment_251.0575 0.0183606900526206
loss_153.0675 0.0183471788432165
loss_163.0625 0.0153175426481953
loss_161.0475 0.0143114182215511
fragment_485.2175 0.0142307697173052
fragment_160.0025 0.0134228819384444
loss_165.0625 0.0134228819384444
loss_95.0475 0.0133117092685932
loss_28.1525 0.0132577057123881
fragment_838.4525 0.01274362766233
loss_153.1725 0.01274362766233
loss_143.0175 0.0116960354295113
fragment_199.1125 0.0114055006006022
fragment_442.0825 0.0112931931639522
fragment_908.5025 0.0105037038637589
fragment_503.2275 0.0100447056048774
loss_18.2125 0.00931032068515714
fragment_973.3675 0.00931032068515714
fragment_164.1075 0.00880887041888914
fragment_429.2725 0.00782316632606085
fragment_860.3925 0.00762120709210949
loss_131.1875 0.00762120709210949
fragment_921.3875 0.00707040918133309
loss_70.1975 0.00707040918133309
loss_127.2775 0.00664813078307118
fragment_864.3075 0.00664813078307118
fragment_441.0925 0.00609733287229477
loss_101.1875 0.00606061301157634
fragment_890.4025 0.00606061301157634
fragment_127.9075 0.00584023071169074
loss_197.1525 0.00584023071169074
fragment_275.1425 0.00580506799840456
fragment_277.2175 0.00574848190251254
fragment_991.4575 0.00571177433475131
fragment_346.2375 0.00552817503115916
fragment_244.1075 0.00530783094649179
loss_179.0575 0.00496173299459707
loss_44.1975 0.00483049767750906
fragment_947.3825 0.00483049767750906
loss_99.3175 0.00479377781679063
fragment_892.2675 0.00479377781679063
fragment_504.2325 0.00431640733580566
loss_143.2825 0.00424297990601422
fragment_848.3025 0.00424297990601422
fragment_909.5025 0.00418788782345274
loss_132.2325 0.00411446039349974
fragment_859.3475 0.00411446039349974
fragment_228.1075 0.00364733748627938
fragment_486.2225 0.00350857040121262
fragment_603.3825 0.00341678303984961
fragment_261.0425 0.0033984231094904
fragment_782.4025 0.00326990359697592
fragment_654.2325 0.00321482380589827
fragment_294.2475 0.00321481151605713
fragment_159.0025 0.00303116138576307
loss_166.0625 0.00303116129864367
fragment_258.1275 0.00281371572372232
fragment_651.3275 0.00268238582548108
loss_101.0675 0.00264560285398607
fragment_877.2675 0.00262730603440345
loss_114.3175 0.00262730603440345
fragment_224.0075 0.00259259058096393
loss_57.2275 0.00249878652188895
fragment_934.3575 0.00249878652188895
loss_46.2575 0.00237026700937446
fragment_945.3275 0.00237026700937446
loss_194.0775 0.00230953776083407
fragment_749.3275 0.00224174749685996
fragment_858.4625 0.00220502763614153
loss_133.1175 0.00220502763614153
fragment_188.0325 0.00220502763614153
fragment_430.2775 0.00218666770578233
fragment_420.1925 0.00214993555872447
fragment_229.0975 0.002132187698531
loss_160.0525 0.00201574856838972
fragment_328.1325 0.00200305611662594
fragment_458.2175 0.00200305611662594
fragment_284.2725 0.00200300530595758
loss_40.7925 0.00200300530595758
loss_43.9775 0.00198464537615228
fragment_241.0975 0.00194797631323415
fragment_775.3325 0.0018929088200349
fragment_188.0475 0.00189288147688617
loss_139.0625 0.00188133331973258
fragment_186.0025 0.00187448579754843
fragment_134.0725 0.00182856266783951
fragment_278.2225 0.00181945681417878
fragment_349.1525 0.00181945601869022
loss_141.2625 0.00169094958608355
loss_54.8875 0.00169088650090363
fragment_270.1825 0.00169088650090363
fragment_170.1175 0.00161749758178712
fragment_228.0725 0.00158522013488476
fragment_467.2075 0.00158077770574916
fragment_723.3475 0.00152571021285064
loss_116.1225 0.00150735028249142
fragment_875.4625 0.00150735028249142
fragment_402.1825 0.00148897806168145
fragment_200.1175 0.00147224940816238
fragment_345.1625 0.00141553834984051
loss_145.3125 0.00139719070033614
fragment_230.1325 0.00139717841969229
fragment_347.2275 0.00137883076997693
fragment_818.3425 0.00136047083961771
loss_173.2425 0.00136047083961771
fragment_405.2825 0.00132373869915791

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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