Metabolomics Structure Database

MDLMOL SDF CSV TSV

MW REGNO:	37712
Common Name:	Maltotetraose
Systematic Name:	(3R,4R,5S,6R)-5-{[(2R,3R,4R,5S,6R)-5-{[(2R,3R,4R,5S,6R)-3,4-dihydroxy-6-(hydroxymethyl)-5-{[(2R,3R,4S,5S,6R)-3,4,5-trihydroxy-6-(hydroxymethyl)oxan-2-yl]oxy}oxan-2-yl]oxy}-3,4-dihydroxy-6-(hydroxymethyl)oxan-2-yl]oxy}-6-(hydroxymethyl)oxane-2,3,4-triol
RefMet Name:	Maltotetraose
Synonyms:	[PubChem Synonyms]
Exact Mass:	666.2219 (neutral)    Calculate m/z: (Choose adduct) [M+H]+ [M+H-H2O]+ [M.]+ [M+2H]2+ [M+3H]3+ [M+4H]4+ [M+K]+ [M+2K]2+ [M-H+2K]+ [M+Na]+ [M+2Na]2+ [M-H+2Na]+ [M+Li]+ [M+2Li]2+ [M+NH4]+ [M-H]- [M-2H]2- [M-3H]3- [M-4H]4- [M+Cl]- [M+OAc]- [M+HCOO]- M(neutral)
Formula:	C24H42O21
InChIKey:	LUEWUZLMQUOBSB-AYQJAVFRSA-N
ClassyFire superclass:	Organic oxygen compounds [C0004603]
ClassyFire class:	Organooxygen compounds [C0000323]
ClassyFire subclass:	Carbohydrates and carbohydrate conjugates [C0000011]
ClassyFire direct parent:	Oligosaccharides [C0000198]
Massbank MS spectra:	View MS spectra
NP-MRD NMR spectra:	View NMR spectra
SMILES:	C([C@@H]1[C@H]([C@@H]([C@H]([C@H](O1)O[C@@H]1[C@@H](CO)O[C@@H]([C@@H]([C@H]1O)O)O[C@@H]1[C@@H](CO)O[C@@H]([C@@H]([C@H]1O)O)O[C@@H]1[C@@H](CO)OC([C@@H]([C@H]1O)O)O)O)O)O)O
Studies:	Available studies (via RefMet name)

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All Database Links Calculated Properties Human Pathways

External database links:

PubChem CID:	439639
CHEBI ID:	143180
HMDB ID:	HMDB0001296
KEGG ID:	C02052
Chemspider ID:	388711
METLIN ID:	4199
MetaCyc ID:	MALTOTETRAOSE
Natural Products Atlas ID:	NP021163
NP-MRD ID(NMR):	NP0000112
Plant Metabolite Hub(Pmhub):	MS000004120

References

LIPID MAPS classification: "Update of the LIPID MAPS comprehensive classification system for lipids", Fahy E, Subramaniam S, Murphy RC, Nishijima M, Raetz CR, Shimizu T, Spener F, van Meer G, Wakelam MJ, and Dennis EA, J. Lipid Res. (2009) 50: S9-S14. DOI: 10.1194/jlr.R800095-JLR200
ClassyFire classification: "ClassyFire: automated chemical classification with a comprehensive, computable taxonomy", Djoumbou Feunang Y, Eisner R, Knox C, Chepelev L, Hastings J, Owen G, Fahy E, Steinbeck C, Subramanian S, Bolton E, Greiner R, and Wishart DS, J. Cheminformatics (2016) 8:61. DOI: 10.1186/s13321-016-0174-y