TY - JOUR
T1 - Estimating the Physicochemical Properties of Polysubstituted Aromatic Compounds Using UPPER
AU - Alantary, Doaa
AU - Yalkowsky, Samuel H.
N1 - Publisher Copyright:
© 2018 American Pharmacists Association®
PY - 2018/1
Y1 - 2018/1
N2 - The UPPER model (Unified Physicochemical Property Estimation Relationships) has been used to predict 9 essential physicochemical properties of pure compounds. It was developed almost 25 years ago and has been validated by the Yalkowsky group for almost 2000 aliphatic, aromatic, and polyhalogenated hydrocarbons. UPPER is based on a group of additive and nonadditive descriptors along with a series of well-accepted thermodynamic relationships. In this model, the 2-dimensional chemical structure is the only input needed. This work extends the applicability of UPPER to hydrogen bonding and non-hydrogen bonding aromatic compounds with several functional groups such as alcohol, aldehyde, ketone, carboxylic acid, carbonate, carbamate, amine, amide, nitrile as well as aceto, and nitro compounds. The total data set includes almost 3000 compounds. Aside from the enthalpies and entropies of melting and boiling, no training set is used for the calculation of the properties. The results show that UPPER enables a reasonable estimation of all the considered properties.
AB - The UPPER model (Unified Physicochemical Property Estimation Relationships) has been used to predict 9 essential physicochemical properties of pure compounds. It was developed almost 25 years ago and has been validated by the Yalkowsky group for almost 2000 aliphatic, aromatic, and polyhalogenated hydrocarbons. UPPER is based on a group of additive and nonadditive descriptors along with a series of well-accepted thermodynamic relationships. In this model, the 2-dimensional chemical structure is the only input needed. This work extends the applicability of UPPER to hydrogen bonding and non-hydrogen bonding aromatic compounds with several functional groups such as alcohol, aldehyde, ketone, carboxylic acid, carbonate, carbamate, amine, amide, nitrile as well as aceto, and nitro compounds. The total data set includes almost 3000 compounds. Aside from the enthalpies and entropies of melting and boiling, no training set is used for the calculation of the properties. The results show that UPPER enables a reasonable estimation of all the considered properties.
KW - QSPR
KW - drug-like properties
KW - log p
KW - molecular modeling
KW - physicochemical properties
KW - structure-property relationship (SPR)
KW - thermodynamics
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U2 - 10.1016/j.xphs.2017.10.018
DO - 10.1016/j.xphs.2017.10.018
M3 - Article
C2 - 29074378
AN - SCOPUS:85035030886
SN - 0022-3549
VL - 107
SP - 297
EP - 306
JO - Journal of pharmaceutical sciences
JF - Journal of pharmaceutical sciences
IS - 1
ER -