Skip Navigation

This Article
Right arrow Full Text Freely available
Right arrow FREE Full Text (PDF) Freely available
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrow Search for citing articles in:
ISI Web of Science (23)
Right arrowRequest Permissions
Right arrow Disclaimer
Google Scholar
Right arrow Articles by Kulkarni, A.
Right arrow Articles by Thompson, E. D.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Kulkarni, A.
Right arrow Articles by Thompson, E. D.
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

Toxicological Sciences 59, 335-345 (2001)
Copyright © 2001 by the Society of Toxicology


SYSTEMS TOXICOLOGY

Prediction of Eye Irritation from Organic Chemicals Using Membrane-Interaction QSAR Analysis

Amit Kulkarni*, A. J. Hopfinger*,1, Rosemarie Osborne{dagger}, Leon H. Bruner{ddagger} and Edward D. Thompson{dagger}

* Laboratory of Molecular Modeling and Design (M/C 781), College of Pharmacy, The University of Illinois at Chicago, 833 South Wood Street, Chicago, Illinois 60612–7231; {dagger} The Procter & Gamble Company, Miami Valley Laboratories, P.O. Box 538707, Cincinnati, Ohio 45253–8707; and {ddagger} Procter & Gamble Technical Centre, Ltd., Lovett House, Lovett Road, Stains, Middlesex TW18 3AZ, England

Eye irritation potency of a compound or mixture has traditionally been evaluated using the Draize rabbit-eye test (Draize et al., 1944). In order to aid predictions of eye irritation and to explore possible corresponding mechanisms of eye irritation, a methodology termed "membrane–interaction QSAR analysis" (MI-QSAR) has been developed (Kulkarni and Hopfinger 1999). A set of Draize eye-irritation data established by the European Center for Ecotoxicology and Toxicology of Chemicals (ECETOC) (Bagley et al., 1992) was used as a structurally diverse training set in an MI-QSAR analysis. Significant QSAR models were constructed based primarily upon aqueous solvation-free energy of the solute and the strength of solute binding to a model phospholipid (DMPC) monolayer. The results demonstrate that inclusion of parameters to model membrane interactions of potentially irritating chemicals provides significantly better predictions of eye irritation for structurally diverse compounds than does modeling based solely on physiochemical properties of chemicals. The specific MI-QSAR models reported here are, in fact, close to the upper limit in both significance and robustness that can be expected for the variability inherent to the eye-irritation scores of the ECETOC training set. The MI-QSAR models can be used with high reliability to classify compounds of low- and high-predicted eye irritation scores. Thus, the models offer the opportunity to reduce animal testing for compounds predicted to fall into these two extreme eye-irritation score sets. The MI-QSAR paradigm may also be applicable to other toxicological endpoints, such as skin irritation, where interactions with cellular membranes are likely.

Key Words: eye irritation; quantitative structure-activity relationships (QSAR); membrane models; rabbits; animal alternatives.


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?


This article has been cited by other articles:


Home page
Toxicol SciHome page
Y. Li, D. Pan, J. Liu, P. S. Kern, G. F. Gerberick, A. J. Hopfinger, and Y. J. Tseng
Categorical QSAR Models for Skin Sensitization based upon Local Lymph Node Assay Classification Measures Part 2: 4D-Fingerprint Three-State and Two-2-State Logistic Regression Models
Toxicol. Sci., October 1, 2007; 99(2): 532 - 544.
[Abstract] [Full Text] [PDF]


Home page
Toxicol SciHome page
Y. Li, J. Liu, D. Pan, and A. J. Hopfinger
A Study of the Relationship between Cornea Permeability and Eye Irritation Using Membrane-Interaction QSAR Analysis
Toxicol. Sci., December 1, 2005; 88(2): 434 - 446.
[Abstract] [Full Text] [PDF]


Home page
Toxicol SciHome page
K. Kodithala, A. J. Hopfinger, E. D. Thompson, and M. K. Robinson
Prediction of Skin Irritation from Organic Chemicals Using Membrane-Interaction QSAR Analysis
Toxicol. Sci., April 1, 2002; 66(2): 336 - 346.
[Abstract] [Full Text] [PDF]



Disclaimer:
Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.