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:362
Name:butyl (9Z,12Z,15Z)-octadeca-9,12,15-trienoate
Description:
Labels:Esters
CAS:
InChi Code:InChI=1S/C22H38O2/c1-3-5-7-8-9-10-11-12-13-14-15-16-17-18-19-20-22(23)24-21-6-4-2/h5,7,9-10,12-13H,3-4,6,8,11,14-21H2,1-2H3/b7-5-,10-9-,13-12-

Properties

FP: Flash point [K]

ValueSource or prediction
377.6

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

318.3

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

367.28

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

337.31

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

350.12

FP_consensus: Consensus model for flash point (Prediction set)

CN: Cetane number

ValueSource or prediction
28.6

experimental value

28.88

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

33.79

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

36.9

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

51.55

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