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:506
Name:methyl (4Z,7Z,10Z,13Z,16Z,19Z)-docosa-4,7,10,13,16,19-hexaenoate
Description:
Labels:Esters
CAS:
InChi Code:InChI=1S/C23H34O2/c1-3-4-5-6-7-8-9-10-11-12-13-14-15-16-17-18-19-20-21-22-23(24)25-2/h3-4,6-7,9-10,12-13,15-16,18-19H,5,8,11,14,17,20-22H2,1-2H3/b4-3-,7-6-,10-9-,13-12-,16-15-,19-18-

Properties

FP: Flash point [K]

ValueSource or prediction
366.15

experimental value

347.45

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

407.57

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

366.23

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

341.23

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

365.61

FP_consensus: Consensus model for flash point (Validation set)

CN: Cetane number

ValueSource or prediction
14.83

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

12.82

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

3.8

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

30.43

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