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:516
Name:methyl (9Z,12Z,15Z)-octadeca-9,12,15-trienoate
Description:
Labels:Esters
CAS:
InChi Code:InChI=1S/C19H32O2/c1-3-4-5-6-7-8-9-10-11-12-13-14-15-16-17-18-19(20)21-2/h4-5,7-8,10-11H,3,6,9,12-18H2,1-2H3/b5-4-,8-7-,11-10-

Properties

FP: Flash point [K]

ValueSource or prediction
386.15

experimental value

374.52

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

336.96

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

362.94

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

342.09

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

354.14

FP_consensus: Consensus model for flash point (Validation set)

CN: Cetane number

ValueSource or prediction
22.7

experimental value

22.98

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

25.35

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

25.88

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

49

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

Links to External Resources