Document Type

Article

Original Publication Date

2013

Journal/Book/Conference Title

Journal of Chemistry

Volume

2013

DOI of Original Publication

10.1155/2013/798508

Comments

Originally found at http://dx.doi.org/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

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