Predicting Dyspnea Inducers by Molecular Topology
Joint Authors
Kier, Lemont B.
Gálvez, Jorge
García-Domenech, Ramón
Gálvez-Llompart, María
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-08-30
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Gálvez-Llompart, María& Gálvez, Jorge& García-Domenech, Ramón& Kier, Lemont B.. 2012. Predicting Dyspnea Inducers by Molecular Topology. Journal of Chemistry،Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-499041
Modern Language Association (MLA)
Gálvez-Llompart, María…[et al.]. Predicting Dyspnea Inducers by Molecular Topology. Journal of Chemistry No. 2013 (2013), pp.1-11.
https://search.emarefa.net/detail/BIM-499041
American Medical Association (AMA)
Gálvez-Llompart, María& Gálvez, Jorge& García-Domenech, Ramón& Kier, Lemont B.. Predicting Dyspnea Inducers by Molecular Topology. Journal of Chemistry. 2012. Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-499041
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-499041
