On Classification of PDZ Domains: A Computational Study
Joint Authors
Baleanu, Dumitru
Aftab, Wasim
Memic, Adnan
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-10-20
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Our goal in this present study is to introduce new wavelet based methods for differentiating and classifying Class I and Class II PDZ domains and compare the resulting signals.
PDZ domains represent one of the most common protein homology regions playing key roles in several diseases.
To perform the classification, we developed two methods.
The first of our methods was comparable to the standard wavelet approaches while the second one surpasses it in recognition accuracy.
Our models exhibited interesting results, and we anticipate that it can be used as a computational technique to screen out the misfit candidates and to reduce the search space, while achieving high classification and accuracy.
American Psychological Association (APA)
Aftab, Wasim& Memic, Adnan& Baleanu, Dumitru. 2013. On Classification of PDZ Domains: A Computational Study. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-1009352
Modern Language Association (MLA)
Aftab, Wasim…[et al.]. On Classification of PDZ Domains: A Computational Study. Mathematical Problems in Engineering No. 2013 (2013), pp.1-9.
https://search.emarefa.net/detail/BIM-1009352
American Medical Association (AMA)
Aftab, Wasim& Memic, Adnan& Baleanu, Dumitru. On Classification of PDZ Domains: A Computational Study. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-1009352
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1009352