RF-Phos: A Novel General Phosphorylation Site Prediction Tool Based on Random Forest
Joint Authors
Ismail, Hamid D.
Jones, Ahoi
Kim, Jung H.
Newman, Robert H.
KC, Dukka B.
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-03-15
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Protein phosphorylation is one of the most widespread regulatory mechanisms in eukaryotes.
Over the past decade, phosphorylation site prediction has emerged as an important problem in the field of bioinformatics.
Here, we report a new method, termed Random Forest-based Phosphosite predictor 2.0 (RF-Phos 2.0), to predict phosphorylation sites given only the primary amino acid sequence of a protein as input.
RF-Phos 2.0, which uses random forest with sequence and structural features, is able to identify putative sites of phosphorylation across many protein families.
In side-by-side comparisons based on 10-fold cross validation and an independent dataset, RF-Phos 2.0 compares favorably to other popular mammalian phosphosite prediction methods, such as PhosphoSVM, GPS2.1, and Musite.
American Psychological Association (APA)
Ismail, Hamid D.& Jones, Ahoi& Kim, Jung H.& Newman, Robert H.& KC, Dukka B.. 2016. RF-Phos: A Novel General Phosphorylation Site Prediction Tool Based on Random Forest. BioMed Research International،Vol. 2016, no. 2016, pp.1-12.
https://search.emarefa.net/detail/BIM-1097326
Modern Language Association (MLA)
Ismail, Hamid D.…[et al.]. RF-Phos: A Novel General Phosphorylation Site Prediction Tool Based on Random Forest. BioMed Research International No. 2016 (2016), pp.1-12.
https://search.emarefa.net/detail/BIM-1097326
American Medical Association (AMA)
Ismail, Hamid D.& Jones, Ahoi& Kim, Jung H.& Newman, Robert H.& KC, Dukka B.. RF-Phos: A Novel General Phosphorylation Site Prediction Tool Based on Random Forest. BioMed Research International. 2016. Vol. 2016, no. 2016, pp.1-12.
https://search.emarefa.net/detail/BIM-1097326
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1097326