z-logo
open-access-imgOpen Access
An Atom Counting QSPR Protocol
Author(s) -
Giri Santanab,
Roy Dehesh R.,
Van Damme Sofie,
Bultinck Patrick,
Subramanian Venkatesan,
Chattaraj Pratim K.
Publication year - 2008
Publication title -
qsar & combinatorial science
Language(s) - English
Resource type - Journals
eISSN - 1611-0218
pISSN - 1611-020X
DOI - 10.1002/qsar.200730109
Subject(s) - quantitative structure–activity relationship , chemistry , partition coefficient , topological index , boiling point , linear regression , molecular descriptor , atom (system on chip) , computational chemistry , thermodynamics , stereochemistry , mathematics , organic chemistry , statistics , computer science , physics , embedded system
A simple descriptor, viz the number of carbon ( N C )/non‐hydrogenic ( N NH ) atoms present in a molecule, is proposed for the development of useful Quantitative Structure–Property–Relationship (QSPR) models. This work is prompted by that of Randic and Basak ( J. Chem. Inf. Comput. Sci. 2001 , 41 , 614–618) who have shown that this descriptor is superior to the simple connectivity index and is marginally worse than the variable connectivity index for analyzing the toxicity of aliphatic ethers. It is tested in the present work in models pertaining to the estimation of boiling point of alcohols, enthalpy of vaporization of Polychlorinated Biphenyls (PCBs), n ‐octanol/water partition coefficient of PCBs and chloroanisoles, p K a values of carboxylic acids, phenols, alcohols, etc. High values of various regression coefficients ( R 2 , $\rm{ R_{{\rm{CV}}}^2 }$ , $\rm{ R_{{\rm{Ad}}}^2 }$ ) suggest the significance of this descriptor which further improves in the resulting two‐parameter QSPR models with electrophilicity or its local variant as an additional descriptor. Other statistical quantities are also analyzed for gaining additional insights into the proposed models. Although the atom number is not the best possible descriptor in a QSPR model in all cases, its simplicity provides it a special place in the development of those models. The present analysis extends the work of Randic and Basak by delineating the situations when N C / N NH performs well vis‐a‐vis the other descriptors.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here