SABinder: A Web Service for Predicting Streptavidin-Binding Peptides
Joint Authors
Ding, Hui
Zhou, Peng
Huang, Jian
Kang, Juanjuan
Ru, Beibei
He, Bifang
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-08-17
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Streptavidin is sometimes used as the intended target to screen phage-displayed combinatorial peptide libraries for streptavidin-binding peptides (SBPs).
More often in the biopanning system, however, streptavidin is just a commonly used anchoring molecule that can efficiently capture the biotinylated target.
In this case, SBPs creeping into the biopanning results are not desired binders but target-unrelated peptides (TUP).
Taking them as intended binders may mislead subsequent studies.
Therefore, it is important to find if a peptide is likely to be an SBP when streptavidin is either the intended target or just the anchoring molecule.
In this paper, we describe an SVM-based ensemble predictor called SABinder.
It is the first predictor for SBP.
The model was built with the feature of optimized dipeptide composition.
It was observed that 89.20% (MCC = 0.78; AUC = 0.93; permutation test, p < 0.001 ) of peptides were correctly classified.
As a web server, SABinder is freely accessible.
The tool provides a highly efficient way to exclude potential SBP when they are TUP or to facilitate identification of possibly new SBP when they are the desired binders.
In either case, it will be helpful and can benefit related scientific community.
American Psychological Association (APA)
He, Bifang& Kang, Juanjuan& Ru, Beibei& Ding, Hui& Zhou, Peng& Huang, Jian. 2016. SABinder: A Web Service for Predicting Streptavidin-Binding Peptides. BioMed Research International،Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1099248
Modern Language Association (MLA)
He, Bifang…[et al.]. SABinder: A Web Service for Predicting Streptavidin-Binding Peptides. BioMed Research International No. 2016 (2016), pp.1-8.
https://search.emarefa.net/detail/BIM-1099248
American Medical Association (AMA)
He, Bifang& Kang, Juanjuan& Ru, Beibei& Ding, Hui& Zhou, Peng& Huang, Jian. SABinder: A Web Service for Predicting Streptavidin-Binding Peptides. BioMed Research International. 2016. Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1099248
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1099248