Metabolomics Structure Database

MDLMOL SDF CSV TSV

MW REGNO:	35313
Common Name:	Testosterone
Systematic Name:	17beta-hydroxyandrost-4-en-3-one
RefMet Name:	Testosterone
Synonyms:	[PubChem Synonyms]
Exact Mass:	288.2089 (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:	C19H28O2
InChIKey:	MUMGGOZAMZWBJJ-DYKIIFRCSA-N
LIPID MAPS Category:	Sterol Lipids [ST]
LIPID MAPS mainclass:	Steroids [ST02]
LIPID MAPS subclass:	C19 steroids (androgens) and derivatives [ST0202]
Massbank MS spectra:	View MS spectra
NP-MRD NMR spectra:	View NMR spectra
SMILES:	C[C@]12CCC(=O)C=C1CC[C@H]1[C@@H]3CC[C@@H]([C@@]3(C)CC[C@H]21)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:	6013
LIPID MAPS ID:	LMST02020002
CHEBI ID:	17347
HMDB ID:	HMDB0000234
KEGG ID:	C00535
Chemspider ID:	5791
METLIN ID:	390
MetaCyc ID:	TESTOSTERONE
NP-MRD ID(NMR):	NP0000552
EPA CompTox DB:	DTXCID30209140
Plant Metabolite Hub(Pmhub):	MS000000554

Calculated physicochemical properties (?):

Heavy Atoms:	21
Rings:	4
Aromatic Rings:	0
Rotatable Bonds:	0
van der Waals Molecular volume:	300.12 Å3 molecule-1
Toplogical Polar Sufrace Area:	37.30 Å2 molecule-1
Hydrogen Bond Donors:	1
Hydrogen Bond Acceptors:	2
logP:	4.17
Molar Refractivity:	83.23
Fraction sp3 Carbons:	0.84
sp3 Carbons:	16

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