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:497
Name:methyl (2E,4E)-hexa-2,4-dienoate
Description:
Labels:Esters
CAS:
InChi Code:InChI=1S/C7H10O2/c1-3-4-5-6-7(8)9-2/h3-6H,1-2H3/b4-3+,6-5+

Properties

FP: Flash point [K]

ValueSource or prediction
320.44

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

332.13

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

323.1

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

323.94

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

324.91

FP_consensus: Consensus model for flash point (Prediction set)

CN: Cetane number

ValueSource or prediction
6

experimental value

6.27

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

5.78

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

5.48

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

30.84

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