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Comparison of Two Methods Forecasting Binding Rate of Plasma Protein
Joint Authors
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-08-04
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
By introducing the descriptors calculated from the molecular structure, the binding rates of plasma protein (BRPP) with seventy diverse drugs are modeled by a quantitative structure-activity relationship (QSAR) technique.
Two algorithms, heuristic algorithm (HA) and support vector machine (SVM), are used to establish linear and nonlinear models to forecast BRPP.
Empirical analysis shows that there are good performances for HA and SVM with cross-validation correlation coefficients Rcv2 of 0.80 and 0.83.
Comparing HA with SVM, it was found that SVM has more stability and more robustness to forecast BRPP.
American Psychological Association (APA)
Hongjiu, Liu& Yanrong, Hu. 2014. Comparison of Two Methods Forecasting Binding Rate of Plasma Protein. Computational and Mathematical Methods in Medicine،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-511314
Modern Language Association (MLA)
Hongjiu, Liu& Yanrong, Hu. Comparison of Two Methods Forecasting Binding Rate of Plasma Protein. Computational and Mathematical Methods in Medicine No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-511314
American Medical Association (AMA)
Hongjiu, Liu& Yanrong, Hu. Comparison of Two Methods Forecasting Binding Rate of Plasma Protein. Computational and Mathematical Methods in Medicine. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-511314
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-511314