Signal-BNF: A Bayesian Network Fusing Approach to Predict Signal Peptides
Joint Authors
Chen, Liping
Kong, Xiangzeng
Chen, Youying
Guo, Gongde
Fan, Yongxian
Zheng, Zhi
Source
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-10-15
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
A signal peptide is a short peptide chain that directs the transport of a protein and has become the crucial vehicle in finding new drugs or reprogramming cells for gene therapy.
As the avalanche of new protein sequences generated in the postgenomic era, the challenge of identifying new signal sequences has become even more urgent and critical in biomedical engineering.
In this paper, we propose a novel predictor called Signal-BNF to predict the N-terminal signal peptide as well as its cleavage site based on Bayesian reasoning network.
Signal-BNF is formed by fusing the results of different Bayesian classifiers which used different feature datasets as its input through weighted voting system.
Experiment results show that Signal-BNF is superior to the popular online predictors such as Signal-3L and PrediSi.
Signal-BNF is featured by high prediction accuracy that may serve as a useful tool for further investigating many unclear details regarding the molecular mechanism of the zip code protein-sorting system in cells.
American Psychological Association (APA)
Zheng, Zhi& Chen, Youying& Chen, Liping& Guo, Gongde& Fan, Yongxian& Kong, Xiangzeng. 2012. Signal-BNF: A Bayesian Network Fusing Approach to Predict Signal Peptides. BioMed Research International،Vol. 2012, no. 2012, pp.1-8.
https://search.emarefa.net/detail/BIM-991730
Modern Language Association (MLA)
Zheng, Zhi…[et al.]. Signal-BNF: A Bayesian Network Fusing Approach to Predict Signal Peptides. BioMed Research International No. 2012 (2012), pp.1-8.
https://search.emarefa.net/detail/BIM-991730
American Medical Association (AMA)
Zheng, Zhi& Chen, Youying& Chen, Liping& Guo, Gongde& Fan, Yongxian& Kong, Xiangzeng. Signal-BNF: A Bayesian Network Fusing Approach to Predict Signal Peptides. BioMed Research International. 2012. Vol. 2012, no. 2012, pp.1-8.
https://search.emarefa.net/detail/BIM-991730
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-991730