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:289
Name:4-[2-(4-hydroxyphenyl)propan-2-yl]phenol
Description:
Labels:Aromatics, (Oxygenates)
CAS:
InChi Code:InChI=1S/C15H16O2/c1-15(2,11-3-7-13(16)8-4-11)12-5-9-14(17)10-6-12/h3-10,16-17H,1-2H3

Properties

FP: Flash point [K]

ValueSource or prediction
480.15

experimental value

511.74

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

478.34

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

468.45

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

472.55

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

482.78

FP_consensus: Consensus model for flash point (Training set)

CN: Cetane number

ValueSource or prediction
23.99

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

8.16

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

-7.18

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

33.28

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