Pregled bibliografske jedinice broj: 157005
Modeling the octanol-water partition coefficient by a modified molecular connectivity index
Modeling the octanol-water partition coefficient by a modified molecular connectivity index // Euro-QSAR 2004 Program & Abstracts / Aki-Sener, Esin ; Yalcin, Ismail (ur.).
Istanbul, 2004. str. 151-151 (poster, međunarodna recenzija, sažetak, znanstveni)
CROSBI ID: 157005 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Modeling the octanol-water partition coefficient by a modified molecular connectivity index
Autori
Šoškić, Milan ; Plavšić, Dejan
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni
Izvornik
Euro-QSAR 2004 Program & Abstracts
/ Aki-Sener, Esin ; Yalcin, Ismail - Istanbul, 2004, 151-151
Skup
The 15th European Symposium on Quantitative Structure-Activity Relationships & Molecular Modelling
Mjesto i datum
Istanbul, Turska, 05.09.2004. - 10.09.2004
Vrsta sudjelovanja
Poster
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
n-octanol-water partition coefficient; molecular connectivity index
Sažetak
The logarithm of the partition coefficient between n-octanol and water, log P, is an important physico-chemical parameter which frequently appears in QSAR (quantitative structure-activity relationship) models. Because of difficulties in the experimental determination of this parameter and the impossibility of its determination for unsynthesized compounds, a number of methods have been proposed for calculating log P. The first-order molecular connectivity index, one of the most popular graph-theoretical molecular descriptors, has been successfully used to predict lipophilicity in sets of closely related compounds, but is less suitable for groups of heterogeneous compounds. To circumvent this obvious shortcoming, here we propose a modified method for the calculation of the molecular connectivity index, which is essentially based on the optimization of delta values of corresponding skeletal atoms. We applied the thus modified index to generate a common model describing the lipophilicity of several structurally diverse groups of compounds (alkanes, alkenes, alkynes, cycloalkanes, aliphatic alcohols, ethers, esters, ketones, carboxylic acids, esters, amines, amides, halogenated alkanes, and some benzene derivatives) and found statistically significant improvement compared to the model based on the standard molecular connectivity index. We also tested the predictive ability of the common model and found it satisfactory. Preliminary data suggest that additional correction factors are needed for the estimation of log P values of more complex compounds, in a similar fashion as, for instance, in the Hansch-Leo and Rekker methods. It appears that the proposed optimization method could provide interesting clues towards a coherent model for the estimation of log P in the framework of the molecular connectivity formalism.
Izvorni jezik
Engleski
Znanstvena područja
Kemija, Biologija