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:390
Name:diallyl (2Z)-but-2-enedioate
Description:
Labels:Esters
CAS:
InChi Code:InChI=1S/C10H12O4/c1-3-7-13-9(11)5-6-10(12)14-8-4-2/h3-6H,1-2,7-8H2/b6-5-

Properties

FP: Flash point [K]

ValueSource or prediction
393

experimental value

350.52

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

391.2

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

396.35

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

387.45

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

381.39

FP_consensus: Consensus model for flash point (Training set)

CN: Cetane number

ValueSource or prediction
8.58

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

1.76

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

-16.69

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

26.22

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