Document Type
Article
Original Publication Date
2013
Journal/Book/Conference Title
Journal of Chemistry
Volume
2013
DOI of Original Publication
10.1155/2013/798508
Date of Submission
August 2014
Abstract
QSAR based on molecular topology (MT) is an excellent methodology used in predicting physicochemical and biological properties of compounds. This approach is applied here for the development of a mathematical model capable to recognize drugs showing dyspnea as a side effect. Using linear discriminant analysis, it was found a four-variable regression equations enabling a predictive rate of about 81% and 73% in the training and test sets of compounds, respectively. These results demonstrate that QSAR-MT is an efficient tool to predict the appearance of dyspnea associated with drug consumption.
Rights
Copyright © 2013 María Gálvez-Llompart et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Is Part Of
VCU Study of Biological Complexity Publications
Comments
Originally found at http://dx.doi.org/10.1155/2013/798508