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:584
Name:propyl (9Z)-octadec-9-enoate
Description:
Labels:Esters
CAS:
InChi Code:InChI=1S/C21H40O2/c1-3-5-6-7-8-9-10-11-12-13-14-15-16-17-18-19-21(22)23-20-4-2/h11-12H,3-10,13-20H2,1-2H3/b12-11-

Properties

FP: Flash point [K]

ValueSource or prediction
368.84

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

380.11

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

389.46

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

378.99

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

379.35

FP_consensus: Consensus model for flash point (Prediction set)

CN: Cetane number

ValueSource or prediction
58.8

experimental value

62.79

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

61.55

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

60.96

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

59.06

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