Metabolomics Structure Database

MDLMOL SDF CSV TSV

MW REGNO:	37983
Common Name:	Ureidoisobutyric acid
Systematic Name:	3-(carbamoylamino)-2-methylpropanoic acid
RefMet Name:	Ureidoisobutyric acid
Synonyms:	[PubChem Synonyms]
Exact Mass:	146.0691 (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:	C5H10N2O3
InChIKey:	PHENTZNALBMCQD-UHFFFAOYSA-N
ClassyFire superclass:	Organic acids and derivatives [C0000264]
ClassyFire class:	Organic carbonic acids and derivatives [C0000364]
ClassyFire subclass:	Ureas [C0000517]
ClassyFire direct parent:	Ureas [C0000517]
SMILES:	CC(CNC(=O)N)C(=O)O
Studies:	Available studies (via RefMet name)

Select appropriate tab below to view additional details:

All Database Links Calculated Properties Human Pathways

External database links:

PubChem CID:	160663
CHEBI ID:	1670
HMDB ID:	HMDB0304156
KEGG ID:	C05100
Chemspider ID:	141172
MetaCyc ID:	3-UREIDO-ISOBUTYRATE
Plant Metabolite Hub(Pmhub):	MS000018562

Calculated physicochemical properties (?):

Heavy Atoms:	10
Rings:	0
Aromatic Rings:	0
Rotatable Bonds:	4
van der Waals Molecular volume:	138.15 Å3 molecule-1
Toplogical Polar Sufrace Area:	92.42 Å2 molecule-1
Hydrogen Bond Donors:	3
Hydrogen Bond Acceptors:	3
logP:	-0.34
Molar Refractivity:	34.88
Fraction sp3 Carbons:	0.60
sp3 Carbons:	3

Human Pathway links:

HMDB and KEGG pathways containing this metabolite

REACTOME pathways containing this metabolite

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