A Low Computational Complexity Scheme for the Prediction of Intrinsically Disordered Protein Regions
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-04-05
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
We employ the Rayleigh entropy maximization to develop a novel IDP scheme which requires computing only five features for each residue of a protein sequence, that is, the Shannon entropy, topological entropy, and the weighted average values of three propensities.
Furthermore, our scheme is a linear classification method and hence requires computing simpler decision curves which are more robust as well as using fewer learning samples to compute.
The simulation results of our scheme as well as some existing schemes demonstrate its effectiveness.
American Psychological Association (APA)
He, Hao& Zhao, Jiaxiang. 2018. A Low Computational Complexity Scheme for the Prediction of Intrinsically Disordered Protein Regions. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-7.
https://search.emarefa.net/detail/BIM-1209143
Modern Language Association (MLA)
He, Hao& Zhao, Jiaxiang. A Low Computational Complexity Scheme for the Prediction of Intrinsically Disordered Protein Regions. Mathematical Problems in Engineering No. 2018 (2018), pp.1-7.
https://search.emarefa.net/detail/BIM-1209143
American Medical Association (AMA)
He, Hao& Zhao, Jiaxiang. A Low Computational Complexity Scheme for the Prediction of Intrinsically Disordered Protein Regions. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-7.
https://search.emarefa.net/detail/BIM-1209143
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1209143