10967/123 - QDB Compounds

QsarDB Repository

Saldana, D. A.; Starck, L.; Mougin, P.; Rousseau, B.; Pidol, L.; Jeuland, N.; Creton, B. Flash Point and Cetane Number Predictions for Fuel Compounds Using Quantitative Structure Property Relationship (QSPR) Methods. Energy Fuels 2011, 25, 9, 3900–3908.

Compound

ID:582
Name:propyl (9Z,12Z)-octadeca-9,12-dienoate
Description:
Labels:Esters
CAS:
InChi Code:InChI=1S/C21H38O2/c1-3-5-6-7-8-9-10-11-12-13-14-15-16-17-18-19-21(22)23-20-4-2/h8-9,11-12H,3-7,10,13-20H2,1-2H3/b9-8-,12-11-

Properties

FP: Flash point [K]

ValueSource or prediction
412.54

FP_PLS-MD: PLS-MD model for flash point (Prediction set)

345.37

FP_SVM-GD: SVM-GD model for flash point (Prediction set)

372.4

FP_NN-MD: NN-MD model for flash point (Prediction set)

355.84

FP_NN-GD: NN-GD model for flash point (Prediction set)

371.54

FP_consensus: Consensus model for flash point (Prediction set)

CN: Cetane number

ValueSource or prediction
42.3

experimental value

42.57

CN_SVM-GD: SVM-GD model for cetane number (Training set)

43.52

CN_SVM-MD: SVM-MD model for cetane number (Training set)

43.1

CN_NN-MD: NN-MD model for cetane number (Training set)

48.1

CN_GRNN-MD: GRNN-MD model for cetane number (Training set)