Title: Toward a Class-Independent Quantitative Structure-Activity Relationship Model for Uncouplers of Oxidative Phosphorylation
Authors: SPYCHER SimonSMEJTEK PavelNETZEVA Tatiana I.ESCHER Beate I.
Citation: CHEMICAL RESEARCH IN TOXICOLOGY vol. 21 no. 4 p. 911-927
Publisher: AMER CHEMICAL SOC
Publication Year: 2008
JRC N°: JRC45144
ISSN: 0893-228X
URI: http://pubs.acs.org/cgi-bin/abstract.cgi/crtoec/2008/21/i04/abs/tx700391f.html
http://publications.jrc.ec.europa.eu/repository/handle/JRC45144
DOI: 10.1021/tx700391f
Type: Articles in periodicals and books
Abstract: A mechanistically based quantitative structure¿activity relationship (QSAR) for the uncoupling activity of weak organic acids has been derived. The analysis of earlier experimental studies suggested that the limiting step in the uncoupling process is the rate with which anions can cross the membrane and that this rate is determined by the height of the energy barrier encountered in the hydrophobic membrane core. We use this mechanistic understanding to develop a predictive model for uncoupling. The translocation rate constants of anions correlate well with the free energy difference between the energy well and the energy barrier, ¿Gwell-barrier,A-, in the membrane calculated by a novel approach to describe internal partitioning in the membrane. An existing data set of 21 phenols measured in an in vitro test system specific for uncouplers was extended by 14 highly diverse compounds. A simple regression model based on the experimental membrane-water partition coefficient and ¿Gwell-barrier,A- showed good predictive power and had meaningful regression coefficients. To establish uncoupler QSARs independent of chemical class, it is necessary to calculate the descriptors for the charged species, as the analogous descriptors of the neutral species showed almost no correlation with the translocation rate constants of anions. The substitution of experimental with calculated partition coefficients resulted in a decrease of the model fit. A particular strength of the current model is the accurate calculation of excess toxicity, which makes it a suitable tool for database screening. The applicability domain, limitations of the model, and ideas for future research are critically discussed.
JRC Directorate:Institute for Health and Consumer Protection Historical Collection

Files in This Item:
There are no files associated with this item.


Items in repository are protected by copyright, with all rights reserved, unless otherwise indicated.