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:353
Name:2,3-bis[[(9Z)-octadec-9-enoyl]oxy]propyl (9Z)-octadec-9-enoate
Description:
Labels:Esters
CAS:
InChi Code:InChI=1S/C57H104O6/c1-4-7-10-13-16-19-22-25-28-31-34-37-40-43-46-49-55(58)61-52-54(63-57(60)51-48-45-42-39-36-33-30-27-24-21-18-15-12-9-6-3)53-62-56(59)50-47-44-41-38-35-32-29-26-23-20-17-14-11-8-5-2/h25-30,54H,4-24,31-53H2,1-3H3/b28-25-,29-26-,30-27-

Properties

FP: Flash point [K]

ValueSource or prediction
1146.3

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

385.62

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

303.49

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

447.22

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

570.66

FP_consensus: Consensus model for flash point (Prediction set)

CN: Cetane number

ValueSource or prediction
45

experimental value

44.73

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

45.2

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

52.82

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

45

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