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Record Information
Version1.0
Creation Date2016-10-03 18:40:49 UTC
Update Date2020-04-22 15:17:16 UTC
BMDB IDBMDB0006322
Secondary Accession Numbers
  • BMDB06322
Metabolite Identification
Common NameTetracosapentaenoic acid (24:5n-6)
DescriptionTetracosapentaenoic acid (24:5N-6), also known as 6Z,9Z,12Z,15Z,18Z-tetracosapentaenoate or C24:5N-6,9,12,15,18, belongs to the class of organic compounds known as very long-chain fatty acids. These are fatty acids with an aliphatic tail that contains at least 22 carbon atoms. Tetracosapentaenoic acid (24:5N-6) is a very hydrophobic molecule, practically insoluble (in water), and relatively neutral. Tetracosapentaenoic acid (24:5N-6) can be biosynthesized from tetracosatetraenoic acid (24:4N-6); which is mediated by the enzyme fatty acid desaturase 2. In cattle, tetracosapentaenoic acid (24:5N-6) is involved in the metabolic pathway called the Alpha linolenic Acid and linoleic Acid metabolism pathway.
Structure
Thumb
Synonyms
ValueSource
6Z,9Z,12Z,15Z,18Z-Tetracosapentaenoic acidChEBI
all-cis-Tetracosa-6,9,12,15,18-pentaenoic acidChEBI
C24:5N-6,9,12,15,18ChEBI
6Z,9Z,12Z,15Z,18Z-TetracosapentaenoateGenerator
all-cis-Tetracosa-6,9,12,15,18-pentaenoateGenerator
Tetracosapentaenoate (24:5N-6)Generator
(6Z,9Z,12Z,15Z,18Z)-TetracosapentaenoateHMDB
(6Z,9Z,12Z,15Z,18Z)-Tetracosapentaenoic acidHMDB
6,9,12,15,18-all-cis-TetracosapentaenoateHMDB
6,9,12,15,18-all-cis-Tetracosapentaenoic acidHMDB
Chemical FormulaC24H38O2
Average Molecular Weight358.5573
Monoisotopic Molecular Weight358.28718046
IUPAC Name(6Z,9Z,12Z,15Z,18Z)-tetracosa-6,9,12,15,18-pentaenoic acid
Traditional Name(6Z,9Z,12Z,15Z,18Z)-tetracosa-6,9,12,15,18-pentaenoic acid
CAS Registry NumberNot Available
SMILES
CCCCC\C=C/C\C=C/C\C=C/C\C=C/C\C=C/CCCCC(O)=O
InChI Identifier
InChI=1S/C24H38O2/c1-2-3-4-5-6-7-8-9-10-11-12-13-14-15-16-17-18-19-20-21-22-23-24(25)26/h6-7,9-10,12-13,15-16,18-19H,2-5,8,11,14,17,20-23H2,1H3,(H,25,26)/b7-6-,10-9-,13-12-,16-15-,19-18-
InChI KeyVENRYLMOFDSSDJ-WMPRHZDHSA-N
Chemical Taxonomy
Description belongs to the class of organic compounds known as very long-chain fatty acids. These are fatty acids with an aliphatic tail that contains at least 22 carbon atoms.
KingdomOrganic compounds
Super ClassLipids and lipid-like molecules
ClassFatty Acyls
Sub ClassFatty acids and conjugates
Direct ParentVery long-chain fatty acids
Alternative Parents
Substituents
  • Very long-chain fatty acid
  • Unsaturated fatty acid
  • Straight chain fatty acid
  • Monocarboxylic acid or derivatives
  • Carboxylic acid
  • Carboxylic acid derivative
  • Organic oxygen compound
  • Organic oxide
  • Hydrocarbon derivative
  • Organooxygen compound
  • Carbonyl group
  • Aliphatic acyclic compound
Molecular FrameworkAliphatic acyclic compounds
External Descriptors
Ontology
StatusDetected and Quantified
Origin
  • Endogenous
  • Exogenous
BiofunctionNot Available
ApplicationNot Available
Cellular locations
  • Adiposome
  • Cell membrane
  • Cytoplasm
  • Membrane
Physical Properties
StateSolid
Experimental Properties
PropertyValueReference
Melting PointNot AvailableNot Available
Boiling PointNot AvailableNot Available
Water SolubilityNot AvailableNot Available
LogPNot AvailableNot Available
Predicted Properties
PropertyValueSource
logP7.62ALOGPS
logP8ChemAxon
logS-6.8ALOGPS
pKa (Strongest Acidic)4.92ChemAxon
Physiological Charge-1ChemAxon
Hydrogen Acceptor Count2ChemAxon
Hydrogen Donor Count1ChemAxon
Polar Surface Area37.3 ŲChemAxon
Rotatable Bond Count17ChemAxon
Refractivity119.47 m³·mol⁻¹ChemAxon
Polarizability44.29 ųChemAxon
Number of Rings0ChemAxon
BioavailabilityNoChemAxon
Rule of FiveNoChemAxon
Ghose FilterNoChemAxon
Veber's RuleNoChemAxon
MDDR-like RuleNoChemAxon
Spectra
Spectra
Spectrum TypeDescriptionSplash Key
Predicted GC-MSPredicted GC-MS Spectrum - GC-MS (Non-derivatized) - 70eV, Positivesplash10-006x-7293000000-94abd486d4cbccc52445View in MoNA
Predicted GC-MSPredicted GC-MS Spectrum - GC-MS (1 TMS) - 70eV, Positivesplash10-00dr-9343000000-882dd8f6d3cb63ef2ad4View in MoNA
Predicted LC-MS/MSPredicted LC-MS/MS Spectrum - 10V, Positivesplash10-0006-0019000000-bfc8b7b9aea2684331baView in MoNA
Predicted LC-MS/MSPredicted LC-MS/MS Spectrum - 20V, Positivesplash10-03di-2469000000-bd0704e784540104d290View in MoNA
Predicted LC-MS/MSPredicted LC-MS/MS Spectrum - 40V, Positivesplash10-01ow-8972000000-c6fd1ca604710f559490View in MoNA
Predicted LC-MS/MSPredicted LC-MS/MS Spectrum - 10V, Negativesplash10-0a4i-0009000000-9983909c1bd7f6f6f639View in MoNA
Predicted LC-MS/MSPredicted LC-MS/MS Spectrum - 20V, Negativesplash10-0bti-0009000000-c2056d0a4e751f58cdacView in MoNA
Predicted LC-MS/MSPredicted LC-MS/MS Spectrum - 40V, Negativesplash10-0a4l-9122000000-630d23a74824a359d149View in MoNA
Biological Properties
Cellular Locations
  • Adiposome
  • Cell membrane
  • Cytoplasm
  • Membrane
Biospecimen Locations
  • Milk
Pathways
Normal Concentrations
BiospecimenStatusValueAgeSexConditionReferenceDetails
MilkDetected and Quantified2091.718 +/- 446.233 uMNot SpecifiedNot Specified
Normal
    • M. Ferrand et al....
details
MilkDetected and Quantified808.797 +/- 278.896 uMNot SpecifiedNot Specified
Normal
    • M. Ferrand et al....
details
MilkDetected and Quantified2203.276 +/- 529.902 uMNot SpecifiedNot Specified
Normal
    • M. Ferrand et al....
details
MilkDetected and Quantified948.245 +/- 390.454 uMNot SpecifiedNot Specified
Normal
    • M. Ferrand et al....
details
Abnormal Concentrations
Not Available
HMDB IDHMDB0006322
DrugBank IDNot Available
Phenol Explorer Compound IDNot Available
FooDB IDFDB023889
KNApSAcK IDNot Available
Chemspider IDNot Available
KEGG Compound IDNot Available
BioCyc IDCPD-4223
BiGG ID2219649
Wikipedia LinkNot Available
METLIN IDNot Available
PubChem Compound14505435
PDB IDNot Available
ChEBI ID77527
References
Synthesis ReferenceNot Available
Material Safety Data Sheet (MSDS)Not Available
General References
  1. M. Ferrand, B. Huquet. S. Barbey, F. Barillet, F. Faucon, H. Larroque, O. Leray, J.M. Trommenschlager, M. Brochard (2011). M. Ferrand et al. Determination of fatty acid profile in cow's milk using mid-infrared spectrometry: Interest of applying a variable selection by genetic algorithms before a PLS regression. Chemometrics and Intelligent Laboratory Systems 106 (2011) 183?189. Chemometrics and Intelligent Laboratory Systems.